Overview

Dataset statistics

Number of variables761
Number of observations1023
Missing cells517026
Missing cells (%)66.4%
Total size in memory5.9 MiB
Average record size in memory5.9 KiB

Variable types

Text22
Unsupported20
Numeric719

Alerts

reiterativa has constant value ""Constant
AcFolico_supl2 has constant value ""Constant
PAT has constant value ""Constant
MAT has constant value ""Constant
SEX has constant value ""Constant
rs121913223_0 has constant value ""Constant
acfolico_supl2 has constant value ""Constant
ev_az_r1 has constant value ""Constant
ev_fibra_kr1 has constant value ""Constant
ev_fibra_kr1_01 has constant value ""Constant
ev_dfe_r1 has constant value ""Constant
rs5742904_0 has constant value ""Constant
rs2241766_0 has constant value ""Constant
id has 16 (1.6%) missing valuesMissing
id_muestra_det has 419 (41.0%) missing valuesMissing
ast_pv has 1023 (100.0%) missing valuesMissing
alt_pv has 1023 (100.0%) missing valuesMissing
crea_pv has 998 (97.6%) missing valuesMissing
homo_pv has 998 (97.6%) missing valuesMissing
vb12_pv has 998 (97.6%) missing valuesMissing
acfol_pv has 998 (97.6%) missing valuesMissing
ast_dx has 888 (86.8%) missing valuesMissing
alt_dx has 890 (87.0%) missing valuesMissing
crea_dx has 767 (75.0%) missing valuesMissing
homo_dx has 435 (42.5%) missing valuesMissing
vb12_dx has 428 (41.8%) missing valuesMissing
acfol_dx has 427 (41.7%) missing valuesMissing
rs1801133_G has 20 (2.0%) missing valuesMissing
rs3737965_T has 19 (1.9%) missing valuesMissing
rs12085006_G has 21 (2.1%) missing valuesMissing
rs1999594_T has 26 (2.5%) missing valuesMissing
rs4654748_C has 30 (2.9%) missing valuesMissing
rs1805087_G has 20 (2.0%) missing valuesMissing
rs982393_A has 26 (2.5%) missing valuesMissing
rs2119289_G has 25 (2.4%) missing valuesMissing
rs2372536_G has 23 (2.2%) missing valuesMissing
rs153734_G has 18 (1.8%) missing valuesMissing
rs1127717_G has 20 (2.0%) missing valuesMissing
rs1801394_G has 32 (3.1%) missing valuesMissing
rs3733890_A has 25 (2.4%) missing valuesMissing
rs9473555_C has 20 (2.0%) missing valuesMissing
rs1141321_A has 19 (1.9%) missing valuesMissing
rs573904_T has 20 (2.0%) missing valuesMissing
rs11254363_G has 19 (1.9%) missing valuesMissing
rs1801222_T has 23 (2.2%) missing valuesMissing
rs11041321_T has 20 (2.0%) missing valuesMissing
rs202676_C has 23 (2.2%) missing valuesMissing
rs526934_G has 28 (2.7%) missing valuesMissing
rs2236225_C has 17 (1.7%) missing valuesMissing
rs1979277_A has 25 (2.4%) missing valuesMissing
rs492602_C has 21 (2.1%) missing valuesMissing
rs601338_A has 20 (2.0%) missing valuesMissing
rs602662_A has 21 (2.1%) missing valuesMissing
rs1569686_G has 20 (2.0%) missing valuesMissing
rs2424913_C has 21 (2.1%) missing valuesMissing
rs8788_G has 22 (2.2%) missing valuesMissing
rs1051266_A has 21 (2.1%) missing valuesMissing
rs1801198_G has 21 (2.1%) missing valuesMissing
NAT has 17 (1.7%) missing valuesMissing
registro has 125 (12.2%) missing valuesMissing
hoja_datos has 16 (1.6%) missing valuesMissing
exclusion has 16 (1.6%) missing valuesMissing
ev_1ertrim has 16 (1.6%) missing valuesMissing
ev_dieta has 16 (1.6%) missing valuesMissing
biopsias has 16 (1.6%) missing valuesMissing
reiterativa has 16 (1.6%) missing valuesMissing
comentario has 839 (82.0%) missing valuesMissing
hospital_ref has 16 (1.6%) missing valuesMissing
estado has 35 (3.4%) missing valuesMissing
edad_dx has 33 (3.2%) missing valuesMissing
peso_h has 101 (9.9%) missing valuesMissing
talla has 52 (5.1%) missing valuesMissing
imc_h has 110 (10.8%) missing valuesMissing
obs_h has 53 (5.2%) missing valuesMissing
peso_1 has 632 (61.8%) missing valuesMissing
peso_2 has 423 (41.3%) missing valuesMissing
peso_3 has 629 (61.5%) missing valuesMissing
ganancia_peso has 659 (64.4%) missing valuesMissing
pas has 275 (26.9%) missing valuesMissing
pad has 275 (26.9%) missing valuesMissing
tipo_dx has 34 (3.3%) missing valuesMissing
sdg_dx has 143 (14.0%) missing valuesMissing
sdg_dx_num has 143 (14.0%) missing valuesMissing
gluc_dx_0 has 35 (3.4%) missing valuesMissing
gluc_dx_60 has 36 (3.5%) missing valuesMissing
gluc_dx_120 has 35 (3.4%) missing valuesMissing
gluc_dx_180 has 107 (10.5%) missing valuesMissing
dx_inicio has 36 (3.5%) missing valuesMissing
auc has 36 (3.5%) missing valuesMissing
sdg_pp has 605 (59.1%) missing valuesMissing
gluc_pp_0 has 606 (59.2%) missing valuesMissing
gluc_pp_60 has 870 (85.0%) missing valuesMissing
gluc_pp_120 has 607 (59.3%) missing valuesMissing
gluc_pp_180 has 869 (84.9%) missing valuesMissing
dx_pp has 605 (59.1%) missing valuesMissing
ichos_pregesta has 207 (20.2%) missing valuesMissing
hta_pregesta has 82 (8.0%) missing valuesMissing
sop has 207 (20.2%) missing valuesMissing
hipotiroidismo has 206 (20.1%) missing valuesMissing
hipertiroidismo has 206 (20.1%) missing valuesMissing
consumo_alcohol has 544 (53.2%) missing valuesMissing
consumo_tabaco has 543 (53.1%) missing valuesMissing
anticonceptivo has 554 (54.2%) missing valuesMissing
ah_dm has 64 (6.3%) missing valuesMissing
ah_hta has 65 (6.4%) missing valuesMissing
ah_ob has 64 (6.3%) missing valuesMissing
ah_dg has 65 (6.4%) missing valuesMissing
no_gestas has 52 (5.1%) missing valuesMissing
ant_dg has 200 (19.6%) missing valuesMissing
ant_aborto has 61 (6.0%) missing valuesMissing
ant_obito has 76 (7.4%) missing valuesMissing
ant_mnt has 63 (6.2%) missing valuesMissing
ant_malformado has 193 (18.9%) missing valuesMissing
ant_macrosomico has 73 (7.1%) missing valuesMissing
cesarea_iter has 60 (5.9%) missing valuesMissing
ema has 32 (3.1%) missing valuesMissing
alta_paridad has 52 (5.1%) missing valuesMissing
estatura_baja has 55 (5.4%) missing valuesMissing
pgr has 69 (6.7%) missing valuesMissing
infeccion_pregesta has 255 (24.9%) missing valuesMissing
embarazo_multiple has 79 (7.7%) missing valuesMissing
preeclampsia has 104 (10.2%) missing valuesMissing
polihidramnios has 126 (12.3%) missing valuesMissing
hidramnios has 102 (10.0%) missing valuesMissing
infeccion_gesta has 110 (10.8%) missing valuesMissing
ac_fol_pregesta has 789 (77.1%) missing valuesMissing
ac_fol_gesta has 707 (69.1%) missing valuesMissing
sdg_fol has 844 (82.5%) missing valuesMissing
trim_fol has 779 (76.1%) missing valuesMissing
ac_fol_dosis_mg has 826 (80.7%) missing valuesMissing
tx_ins has 162 (15.8%) missing valuesMissing
modo_parto has 302 (29.5%) missing valuesMissing
sdg_parto has 449 (43.9%) missing valuesMissing
termino_rn has 448 (43.8%) missing valuesMissing
sexo_rn has 315 (30.8%) missing valuesMissing
peso_rn has 313 (30.6%) missing valuesMissing
talla_rn has 378 (37.0%) missing valuesMissing
pc has 836 (81.7%) missing valuesMissing
capurro has 536 (52.4%) missing valuesMissing
apgar_1 has 632 (61.8%) missing valuesMissing
apgar_5 has 630 (61.6%) missing valuesMissing
pH_A has 872 (85.2%) missing valuesMissing
pO2_A has 873 (85.3%) missing valuesMissing
pCO2_A has 874 (85.4%) missing valuesMissing
pH_V has 875 (85.5%) missing valuesMissing
pO2_V has 876 (85.6%) missing valuesMissing
pCO2_V has 876 (85.6%) missing valuesMissing
macrosomia_rn has 464 (45.4%) missing valuesMissing
percentil_peso has 503 (49.2%) missing valuesMissing
malformaciones_rn has 299 (29.2%) missing valuesMissing
app has 268 (26.2%) missing valuesMissing
aborto_rn has 298 (29.1%) missing valuesMissing
obito_rn has 299 (29.2%) missing valuesMissing
mnt_rn has 299 (29.2%) missing valuesMissing
peso_placenta has 754 (73.7%) missing valuesMissing
fur has 276 (27.0%) missing valuesMissing
fecha_encuesta has 264 (25.8%) missing valuesMissing
ano_gesta has 48 (4.7%) missing valuesMissing
muestra_gesta_estudio has 21 (2.1%) missing valuesMissing
fecha_muestra has 158 (15.4%) missing valuesMissing
sdg_muestra has 392 (38.3%) missing valuesMissing
ins_dx has 551 (53.9%) missing valuesMissing
gluc_dx has 457 (44.7%) missing valuesMissing
urico_dx has 882 (86.2%) missing valuesMissing
tg_dx has 456 (44.6%) missing valuesMissing
ct_dx has 453 (44.3%) missing valuesMissing
hdl_dx has 457 (44.7%) missing valuesMissing
ldl_dx has 513 (50.1%) missing valuesMissing
apob_dx has 882 (86.2%) missing valuesMissing
lep_dx has 828 (80.9%) missing valuesMissing
adipo_dx has 837 (81.8%) missing valuesMissing
pcr_dx has 883 (86.3%) missing valuesMissing
pgn_dx has 871 (85.1%) missing valuesMissing
e2_dx has 860 (84.1%) missing valuesMissing
ins_madre_parto has 973 (95.1%) missing valuesMissing
gluc_madre_parto has 972 (95.0%) missing valuesMissing
tg_madre_parto has 972 (95.0%) missing valuesMissing
ct_madre_parto has 972 (95.0%) missing valuesMissing
hdl_madre_parto has 972 (95.0%) missing valuesMissing
ldl_madre_parto has 972 (95.0%) missing valuesMissing
pgn_madre_parto has 989 (96.7%) missing valuesMissing
e2_madre_parto has 983 (96.1%) missing valuesMissing
lep_madre_parto has 972 (95.0%) missing valuesMissing
adipo_madre_parto has 973 (95.1%) missing valuesMissing
ins_cordon_parto has 976 (95.4%) missing valuesMissing
gluc_cordon_parto has 976 (95.4%) missing valuesMissing
tg_cordon_parto has 976 (95.4%) missing valuesMissing
ct_cordon_parto has 976 (95.4%) missing valuesMissing
hdl_cordon_parto has 976 (95.4%) missing valuesMissing
ldl_cordon_parto has 976 (95.4%) missing valuesMissing
pgn_cordon_parto has 1012 (98.9%) missing valuesMissing
e2_cordon_parto has 984 (96.2%) missing valuesMissing
lep_cordon_parto has 975 (95.3%) missing valuesMissing
adipo_cordon_parto has 976 (95.4%) missing valuesMissing
ins_pp has 772 (75.5%) missing valuesMissing
gluc_pp has 570 (55.7%) missing valuesMissing
crea_pp has 844 (82.5%) missing valuesMissing
urico_pp has 842 (82.3%) missing valuesMissing
tg_pp has 774 (75.7%) missing valuesMissing
ct_pp has 772 (75.5%) missing valuesMissing
hdl_pp has 772 (75.5%) missing valuesMissing
ldl_pp has 804 (78.6%) missing valuesMissing
apob_pp has 843 (82.4%) missing valuesMissing
lep_pp has 805 (78.7%) missing valuesMissing
adipo_pp has 798 (78.0%) missing valuesMissing
pcr_pp has 849 (83.0%) missing valuesMissing
pgn_pp has 1003 (98.0%) missing valuesMissing
e2_pp has 1016 (99.3%) missing valuesMissing
tiene_pareja has 553 (54.1%) missing valuesMissing
paciente_trabaja has 607 (59.3%) missing valuesMissing
escolaridad has 571 (55.8%) missing valuesMissing
no_cuartos has 762 (74.5%) missing valuesMissing
no_banos has 763 (74.6%) missing valuesMissing
regadera has 763 (74.6%) missing valuesMissing
no_focos has 763 (74.6%) missing valuesMissing
piso_hogar has 763 (74.6%) missing valuesMissing
no_autos has 763 (74.6%) missing valuesMissing
no_tv has 763 (74.6%) missing valuesMissing
no_computador has 763 (74.6%) missing valuesMissing
estufa has 763 (74.6%) missing valuesMissing
estudio_max has 764 (74.7%) missing valuesMissing
puntos_ses has 764 (74.7%) missing valuesMissing
nivel_ses has 764 (74.7%) missing valuesMissing
ins_seg has 1015 (99.2%) missing valuesMissing
glu_seg has 1015 (99.2%) missing valuesMissing
tg_seg has 1015 (99.2%) missing valuesMissing
ct_seg has 1015 (99.2%) missing valuesMissing
hdl_seg has 1015 (99.2%) missing valuesMissing
ldl_seg has 1016 (99.3%) missing valuesMissing
Fecha_ev1 has 961 (93.9%) missing valuesMissing
SDG_ev1 has 961 (93.9%) missing valuesMissing
trimestre_ev1 has 960 (93.8%) missing valuesMissing
Edad_ev1 has 961 (93.9%) missing valuesMissing
Peso_pg has 961 (93.9%) missing valuesMissing
Talla_ev1 has 962 (94.0%) missing valuesMissing
IMC_pg has 962 (94.0%) missing valuesMissing
Clasif_imc has 962 (94.0%) missing valuesMissing
peso_1ertrim has 969 (94.7%) missing valuesMissing
Ganancia_1ertrim has 970 (94.8%) missing valuesMissing
Peso_2otrim has 985 (96.3%) missing valuesMissing
Ganancia_2otrim has 986 (96.4%) missing valuesMissing
Peso_3ertrim has 1010 (98.7%) missing valuesMissing
Ganancia_3ertrim has 1010 (98.7%) missing valuesMissing
Peso_actual has 962 (94.0%) missing valuesMissing
GER has 963 (94.1%) missing valuesMissing
Kcaltotales_cons1 has 961 (93.9%) missing valuesMissing
Adecuacion_energia1 has 963 (94.1%) missing valuesMissing
p_proteina1 has 961 (93.9%) missing valuesMissing
p_HC1 has 961 (93.9%) missing valuesMissing
p_lipidos1 has 961 (93.9%) missing valuesMissing
Folato_R24Hmcg has 961 (93.9%) missing valuesMissing
DFE_R24H has 961 (93.9%) missing valuesMissing
AcFolR24H_kcal has 961 (93.9%) missing valuesMissing
FFQ_plip has 961 (93.9%) missing valuesMissing
FFQ_pHC has 961 (93.9%) missing valuesMissing
FFQ_pProt has 961 (93.9%) missing valuesMissing
FFQ_FOLATOmcg has 961 (93.9%) missing valuesMissing
FFQ_DFE has 961 (93.9%) missing valuesMissing
FFQ_energia has 961 (93.9%) missing valuesMissing
AcFolico_supl has 929 (90.8%) missing valuesMissing
AcFolico_marca has 949 (92.8%) missing valuesMissing
AcFsup_dosis_mg has 947 (92.6%) missing valuesMissing
supl_preconcep has 930 (90.9%) missing valuesMissing
supl_1erTrim has 931 (91.0%) missing valuesMissing
Multi0_acfol1 has 941 (92.0%) missing valuesMissing
iniciosupl_sdg has 932 (91.1%) missing valuesMissing
AcFolico_papa has 930 (90.9%) missing valuesMissing
Ins_1av has 998 (97.6%) missing valuesMissing
Gluc_1av has 992 (97.0%) missing valuesMissing
Col_1av has 992 (97.0%) missing valuesMissing
Tg_1av has 992 (97.0%) missing valuesMissing
LDL_1av has 992 (97.0%) missing valuesMissing
HDL_1av has 992 (97.0%) missing valuesMissing
Pgn_1av has 1001 (97.8%) missing valuesMissing
E2_1av has 1001 (97.8%) missing valuesMissing
Lep_1av has 1006 (98.3%) missing valuesMissing
Adipo_1av has 1005 (98.2%) missing valuesMissing
Peso_1av has 993 (97.1%) missing valuesMissing
Talla_1av has 992 (97.0%) missing valuesMissing
CMB_1av has 992 (97.0%) missing valuesMissing
PCT_1av has 992 (97.0%) missing valuesMissing
Peso_actual2 has 1001 (97.8%) missing valuesMissing
GER2 has 1001 (97.8%) missing valuesMissing
Kcaltotales_cons2 has 1001 (97.8%) missing valuesMissing
p_proteina2 has 1001 (97.8%) missing valuesMissing
p_HC2 has 1001 (97.8%) missing valuesMissing
p_lipidos2 has 1001 (97.8%) missing valuesMissing
Folato_R24Hmcg2 has 1001 (97.8%) missing valuesMissing
DFE_R24H2 has 1001 (97.8%) missing valuesMissing
AcFolico_supl2 has 1002 (97.9%) missing valuesMissing
AcFolico_marca2 has 1002 (97.9%) missing valuesMissing
AcFsup_dosis_mg2 has 1002 (97.9%) missing valuesMissing
Multi0_acfol1_3 has 1002 (97.9%) missing valuesMissing
Peso_2av has 1001 (97.8%) missing valuesMissing
Talla_2av has 1001 (97.8%) missing valuesMissing
CMB_2av has 1001 (97.8%) missing valuesMissing
PCT_2av has 1001 (97.8%) missing valuesMissing
estado2 has 35 (3.4%) missing valuesMissing
sup_acfol2 has 710 (69.4%) missing valuesMissing
acfol_dosis2 has 827 (80.8%) missing valuesMissing
supl_temp has 846 (82.7%) missing valuesMissing
homab_dx has 551 (53.9%) missing valuesMissing
homas_dx has 551 (53.9%) missing valuesMissing
homair_dx has 551 (53.9%) missing valuesMissing
homab_pp has 807 (78.9%) missing valuesMissing
homas_pp has 807 (78.9%) missing valuesMissing
homair_pp has 807 (78.9%) missing valuesMissing
homab_1av has 998 (97.6%) missing valuesMissing
homas_1av has 998 (97.6%) missing valuesMissing
homair_1av has 998 (97.6%) missing valuesMissing
irs12rs19 has 30 (2.9%) missing valuesMissing
irs12rs19a has 30 (2.9%) missing valuesMissing
datospp has 17 (1.7%) missing valuesMissing
pcambiog has 998 (97.6%) missing valuesMissing
acfol_dosis3 has 827 (80.8%) missing valuesMissing
acfol_dosis4 has 827 (80.8%) missing valuesMissing
multi_af has 939 (91.8%) missing valuesMissing
rs1801133_T has 20 (2.0%) missing valuesMissing
irs180113 has 26 (2.5%) missing valuesMissing
lnpgn_dx has 871 (85.1%) missing valuesMissing
lne2_dx has 860 (84.1%) missing valuesMissing
rs1051566_2 has 21 (2.1%) missing valuesMissing
acfol_dosis5 has 827 (80.8%) missing valuesMissing
trim_fol2 has 819 (80.1%) missing valuesMissing
trim_fol3 has 780 (76.2%) missing valuesMissing
FID has 17 (1.7%) missing valuesMissing
PAT has 17 (1.7%) missing valuesMissing
MAT has 17 (1.7%) missing valuesMissing
SEX has 17 (1.7%) missing valuesMissing
PHENOTYPE has 17 (1.7%) missing valuesMissing
rs13007334_T has 26 (2.5%) missing valuesMissing
rs900400_C has 30 (2.9%) missing valuesMissing
rs724577_A has 30 (2.9%) missing valuesMissing
rs6893114_T has 25 (2.4%) missing valuesMissing
rs4432842_T has 33 (3.2%) missing valuesMissing
rs2560424_A has 19 (1.9%) missing valuesMissing
rs121913223_0 has 31 (3.0%) missing valuesMissing
rs6931514_G has 41 (4.0%) missing valuesMissing
rs6558702_G has 24 (2.3%) missing valuesMissing
rs5030937_G has 21 (2.1%) missing valuesMissing
rs4746822_C has 23 (2.2%) missing valuesMissing
rs1801253_G has 35 (3.4%) missing valuesMissing
rs149483638_T has 22 (2.2%) missing valuesMissing
rs3842753_A has 29 (2.8%) missing valuesMissing
rs689_T has 17 (1.7%) missing valuesMissing
rs202673_G has 28 (2.7%) missing valuesMissing
rs1042725_C has 21 (2.1%) missing valuesMissing
rs1950902_T has 28 (2.7%) missing valuesMissing
rs16948305_T has 31 (3.0%) missing valuesMissing
rs2228611_G has 20 (2.0%) missing valuesMissing
rs6517656_A has 22 (2.2%) missing valuesMissing
rs2277820_C has 28 (2.7%) missing valuesMissing
mpg has 36 (3.5%) missing valuesMissing
m has 111 (10.9%) missing valuesMissing
mcr has 111 (10.9%) missing valuesMissing
msi has 552 (54.0%) missing valuesMissing
gutt has 569 (55.6%) missing valuesMissing
hiperglu_1av has 17 (1.7%) missing valuesMissing
gancia_peso has 996 (97.4%) missing valuesMissing
sdg_tamiz has 1023 (100.0%) missing valuesMissing
tam_0 has 1023 (100.0%) missing valuesMissing
tam_120 has 1023 (100.0%) missing valuesMissing
ph_a has 1023 (100.0%) missing valuesMissing
po2_a has 1023 (100.0%) missing valuesMissing
pco2_a has 1023 (100.0%) missing valuesMissing
ph_v has 1023 (100.0%) missing valuesMissing
po2_v has 1023 (100.0%) missing valuesMissing
pco2_v has 1023 (100.0%) missing valuesMissing
origen_px has 958 (93.6%) missing valuesMissing
origen_padre has 958 (93.6%) missing valuesMissing
origen_madre has 958 (93.6%) missing valuesMissing
origen_abos_pat has 958 (93.6%) missing valuesMissing
origen_abos_mat has 958 (93.6%) missing valuesMissing
domicilio has 958 (93.6%) missing valuesMissing
telefono has 958 (93.6%) missing valuesMissing
fecha_ev1 has 958 (93.6%) missing valuesMissing
sdg_ev1 has 961 (93.9%) missing valuesMissing
edad_ev1 has 961 (93.9%) missing valuesMissing
peso_pg has 958 (93.6%) missing valuesMissing
talla_ev1 has 962 (94.0%) missing valuesMissing
imc_pg has 959 (93.7%) missing valuesMissing
clasif_imc has 959 (93.7%) missing valuesMissing
gancia_1ertrim has 970 (94.8%) missing valuesMissing
peso_2otrim has 971 (94.9%) missing valuesMissing
gancia_2otrim has 985 (96.3%) missing valuesMissing
peso_3ertrim has 1009 (98.6%) missing valuesMissing
gancia_3ertrim has 958 (93.6%) missing valuesMissing
peso_actual has 962 (94.0%) missing valuesMissing
kcaltotales_cons1 has 994 (97.2%) missing valuesMissing
adecuacion_energia1 has 958 (93.6%) missing valuesMissing
p_proteina_r1 has 994 (97.2%) missing valuesMissing
p_hc_r1 has 994 (97.2%) missing valuesMissing
p_lipidos_r1 has 994 (97.2%) missing valuesMissing
folato_r24hmcg has 994 (97.2%) missing valuesMissing
dfe_r24h has 994 (97.2%) missing valuesMissing
dfe_af_r24h has 995 (97.3%) missing valuesMissing
acfolr24h_kcal has 961 (93.9%) missing valuesMissing
ffq_plip has 959 (93.7%) missing valuesMissing
ffq_folatomcg has 961 (93.9%) missing valuesMissing
ffq_dfe has 961 (93.9%) missing valuesMissing
ffq_energia has 959 (93.7%) missing valuesMissing
acfolico_supl has 961 (93.9%) missing valuesMissing
acfolico_marca has 958 (93.6%) missing valuesMissing
acfsup_dosis_mg has 968 (94.6%) missing valuesMissing
supl_1ertrim has 963 (94.1%) missing valuesMissing
multi0_acfol1 has 967 (94.5%) missing valuesMissing
acfolico_papa has 962 (94.0%) missing valuesMissing
ins_1av has 998 (97.6%) missing valuesMissing
gluc_1av has 993 (97.1%) missing valuesMissing
col_1av has 992 (97.0%) missing valuesMissing
tg_1av has 992 (97.0%) missing valuesMissing
ldl_1av has 992 (97.0%) missing valuesMissing
hdl_1av has 992 (97.0%) missing valuesMissing
pgn_1av has 1001 (97.8%) missing valuesMissing
e2_1av has 1001 (97.8%) missing valuesMissing
lep_1av has 1006 (98.3%) missing valuesMissing
adipo_1av has 998 (97.6%) missing valuesMissing
peso_1av has 993 (97.1%) missing valuesMissing
talla_1av has 992 (97.0%) missing valuesMissing
cmb_1av has 992 (97.0%) missing valuesMissing
pct_1av has 992 (97.0%) missing valuesMissing
peso_actual2 has 1001 (97.8%) missing valuesMissing
ger2 has 1001 (97.8%) missing valuesMissing
kcaltotales_cons2 has 965 (94.3%) missing valuesMissing
p_protei2 has 965 (94.3%) missing valuesMissing
p_hc_r2 has 965 (94.3%) missing valuesMissing
p_lipidos_r2 has 965 (94.3%) missing valuesMissing
folato_r24hmcg2 has 965 (94.3%) missing valuesMissing
dfe_r24h2 has 965 (94.3%) missing valuesMissing
acfolico_supl2 has 1000 (97.8%) missing valuesMissing
acfolico_marca2 has 958 (93.6%) missing valuesMissing
acfsup_dosis_mg2 has 958 (93.6%) missing valuesMissing
multi0_acfol1_3 has 1002 (97.9%) missing valuesMissing
peso_2av has 1001 (97.8%) missing valuesMissing
talla_2av has 1001 (97.8%) missing valuesMissing
cmb_2av has 1001 (97.8%) missing valuesMissing
pct_2av has 1001 (97.8%) missing valuesMissing
fib_r1 has 993 (97.1%) missing valuesMissing
fibs_r1 has 993 (97.1%) missing valuesMissing
fibi_r1 has 993 (97.1%) missing valuesMissing
sac_r1 has 993 (97.1%) missing valuesMissing
gal_r1 has 993 (97.1%) missing valuesMissing
glu_r1 has 993 (97.1%) missing valuesMissing
fruc_r1 has 993 (97.1%) missing valuesMissing
lac_r1 has 993 (97.1%) missing valuesMissing
mal_r1 has 993 (97.1%) missing valuesMissing
sat_r1 has 997 (97.5%) missing valuesMissing
mono_r1 has 994 (97.2%) missing valuesMissing
poly_r1 has 997 (97.5%) missing valuesMissing
chol_r1 has 994 (97.2%) missing valuesMissing
fib_r2 has 963 (94.1%) missing valuesMissing
fibs_r2 has 963 (94.1%) missing valuesMissing
fibi_r2 has 963 (94.1%) missing valuesMissing
sac_r2 has 963 (94.1%) missing valuesMissing
gal_r2 has 963 (94.1%) missing valuesMissing
glu_r2 has 963 (94.1%) missing valuesMissing
fruc_r2 has 963 (94.1%) missing valuesMissing
lac_r2 has 963 (94.1%) missing valuesMissing
mal_r2 has 963 (94.1%) missing valuesMissing
sat_r2 has 964 (94.2%) missing valuesMissing
mono_r2 has 964 (94.2%) missing valuesMissing
poly_r2 has 964 (94.2%) missing valuesMissing
chol_r2 has 964 (94.2%) missing valuesMissing
fib_fca has 958 (93.6%) missing valuesMissing
fibs_fca has 958 (93.6%) missing valuesMissing
fibi_fca has 958 (93.6%) missing valuesMissing
sac_fca has 958 (93.6%) missing valuesMissing
gal_fca has 958 (93.6%) missing valuesMissing
glu_fca has 958 (93.6%) missing valuesMissing
fruc_fca has 958 (93.6%) missing valuesMissing
lac_fca has 958 (93.6%) missing valuesMissing
mal_fca has 958 (93.6%) missing valuesMissing
sat_fca has 958 (93.6%) missing valuesMissing
mono_fca has 958 (93.6%) missing valuesMissing
poly_fca has 958 (93.6%) missing valuesMissing
chol_fca has 959 (93.7%) missing valuesMissing
homab_1a has 998 (97.6%) missing valuesMissing
homas_1a has 998 (97.6%) missing valuesMissing
homair_1a has 998 (97.6%) missing valuesMissing
get2 has 1001 (97.8%) missing valuesMissing
ger_h1 has 965 (94.3%) missing valuesMissing
get_h1 has 965 (94.3%) missing valuesMissing
ger_h2 has 966 (94.4%) missing valuesMissing
get_h2 has 966 (94.4%) missing valuesMissing
omega3_r1 has 994 (97.2%) missing valuesMissing
omega6_r1 has 994 (97.2%) missing valuesMissing
caf_r1 has 994 (97.2%) missing valuesMissing
omega3_r2 has 964 (94.2%) missing valuesMissing
omega6_r2 has 964 (94.2%) missing valuesMissing
caf_r2 has 964 (94.2%) missing valuesMissing
g_proteina_r1 has 994 (97.2%) missing valuesMissing
g_lipidos_r1 has 994 (97.2%) missing valuesMissing
g_hc_r1 has 994 (97.2%) missing valuesMissing
g_proteina_r2 has 966 (94.4%) missing valuesMissing
g_lipidos_r2 has 966 (94.4%) missing valuesMissing
g_hc_r2 has 966 (94.4%) missing valuesMissing
g_proteina_ffq has 959 (93.7%) missing valuesMissing
g_lipidos_ffq has 959 (93.7%) missing valuesMissing
g_hc_ffq has 959 (93.7%) missing valuesMissing
p_mono_lr1 has 994 (97.2%) missing valuesMissing
talla_cm has 959 (93.7%) missing valuesMissing
ger_fao has 958 (93.6%) missing valuesMissing
kcal_mono_r1 has 994 (97.2%) missing valuesMissing
kcal_mono_r2 has 964 (94.2%) missing valuesMissing
kcal_mono_ffq has 959 (93.7%) missing valuesMissing
p_mono_kr1 has 994 (97.2%) missing valuesMissing
ev_mono_kr1 has 994 (97.2%) missing valuesMissing
p_mono_kr2 has 966 (94.4%) missing valuesMissing
ev_mono_kr2 has 966 (94.4%) missing valuesMissing
p_mono_kffq has 959 (93.7%) missing valuesMissing
ev_mono_kffq has 959 (93.7%) missing valuesMissing
kcal_poly_r1 has 997 (97.5%) missing valuesMissing
kcal_poly_r2 has 964 (94.2%) missing valuesMissing
kcal_poly_ffq has 959 (93.7%) missing valuesMissing
p_poly_kr1 has 997 (97.5%) missing valuesMissing
ev_poly_kr1 has 997 (97.5%) missing valuesMissing
p_poly_kr2 has 966 (94.4%) missing valuesMissing
ev_poly_kr2 has 966 (94.4%) missing valuesMissing
p_poly_kffq has 959 (93.7%) missing valuesMissing
ev_poly_kffq has 959 (93.7%) missing valuesMissing
kcal_sat_r1 has 997 (97.5%) missing valuesMissing
kcal_sat_r2 has 964 (94.2%) missing valuesMissing
kcal_sat_ffq has 959 (93.7%) missing valuesMissing
p_sat_kr1 has 997 (97.5%) missing valuesMissing
p_sat_kr2 has 966 (94.4%) missing valuesMissing
p_sat_kffq has 959 (93.7%) missing valuesMissing
ev_sat_kr1 has 997 (97.5%) missing valuesMissing
ev_sat_kr2 has 966 (94.4%) missing valuesMissing
ev_sat_kffq has 959 (93.7%) missing valuesMissing
col_kr1 has 994 (97.2%) missing valuesMissing
col_kr2 has 966 (94.4%) missing valuesMissing
col_kffq has 960 (93.8%) missing valuesMissing
ev_col_kr1 has 994 (97.2%) missing valuesMissing
ev_col_kr2 has 966 (94.4%) missing valuesMissing
ev_col_kffq has 960 (93.8%) missing valuesMissing
az_r1 has 994 (97.2%) missing valuesMissing
az_r2 has 964 (94.2%) missing valuesMissing
az_ffq has 959 (93.7%) missing valuesMissing
az_kcal_r1 has 994 (97.2%) missing valuesMissing
az_kcal_r2 has 964 (94.2%) missing valuesMissing
az_kcal_ffq has 959 (93.7%) missing valuesMissing
az_porc_r1 has 994 (97.2%) missing valuesMissing
az_porc_r2 has 966 (94.4%) missing valuesMissing
az_porc_ffq has 959 (93.7%) missing valuesMissing
ev_az_r1 has 994 (97.2%) missing valuesMissing
ev_az_r2 has 966 (94.4%) missing valuesMissing
ev_az_ffq has 960 (93.8%) missing valuesMissing
fibra_kr1 has 994 (97.2%) missing valuesMissing
fibra_kr2 has 966 (94.4%) missing valuesMissing
fibra_kffq has 959 (93.7%) missing valuesMissing
ev_fibra_kr1 has 994 (97.2%) missing valuesMissing
ev_fibra_kr2 has 966 (94.4%) missing valuesMissing
ev_fibra_kffq has 959 (93.7%) missing valuesMissing
ratio_fins_fsol_r1 has 994 (97.2%) missing valuesMissing
ratio_fins_fsol_r2 has 963 (94.1%) missing valuesMissing
ratio_fins_fsol_ffq has 958 (93.6%) missing valuesMissing
ev_ratio_r1 has 994 (97.2%) missing valuesMissing
ev_ratio_r2 has 963 (94.1%) missing valuesMissing
ev_ratio_ffq has 958 (93.6%) missing valuesMissing
adec_r1 has 995 (97.3%) missing valuesMissing
ev_adec_r1 has 995 (97.3%) missing valuesMissing
adec_r2 has 969 (94.7%) missing valuesMissing
ev_adec_r2 has 969 (94.7%) missing valuesMissing
adec_ffq has 959 (93.7%) missing valuesMissing
ev_adec_ffq has 959 (93.7%) missing valuesMissing
lnhomair_dx has 966 (94.4%) missing valuesMissing
lnadipo_dx has 970 (94.8%) missing valuesMissing
lntg_dx has 963 (94.1%) missing valuesMissing
lnct_dx has 963 (94.1%) missing valuesMissing
lnldl_dx has 963 (94.1%) missing valuesMissing
lnins_dx has 966 (94.4%) missing valuesMissing
ganancia1 has 964 (94.2%) missing valuesMissing
ganancia2 has 965 (94.3%) missing valuesMissing
kcal_omega3_r1 has 994 (97.2%) missing valuesMissing
p_omega3_kr1 has 995 (97.3%) missing valuesMissing
ev_omega3_r1 has 958 (93.6%) missing valuesMissing
kcal_omega6_r1 has 994 (97.2%) missing valuesMissing
p_omega6_kr1 has 995 (97.3%) missing valuesMissing
ev_omega6_r1 has 958 (93.6%) missing valuesMissing
kcal_omega3_r2 has 964 (94.2%) missing valuesMissing
p_omega3_kr2 has 966 (94.4%) missing valuesMissing
ev_omega3_r2 has 958 (93.6%) missing valuesMissing
kcal_omega6_r2 has 964 (94.2%) missing valuesMissing
p_omega6_kr2 has 966 (94.4%) missing valuesMissing
ev_omega6_r2 has 958 (93.6%) missing valuesMissing
ev_plipidos has 958 (93.6%) missing valuesMissing
ev_plipidos1 has 958 (93.6%) missing valuesMissing
i_omegas has 995 (97.3%) missing valuesMissing
ratio_o3o6 has 994 (97.2%) missing valuesMissing
res has 994 (97.2%) missing valuesMissing
g_lipidos_res1 has 994 (97.2%) missing valuesMissing
res_o3 has 995 (97.3%) missing valuesMissing
res_o3_r1 has 995 (97.3%) missing valuesMissing
ev_plipidos_r2 has 966 (94.4%) missing valuesMissing
cmb_1av_01 has 1019 (99.6%) missing valuesMissing
ev_adec_r1_01 has 963 (94.1%) missing valuesMissing
ev_sat_kr1_01 has 962 (94.0%) missing valuesMissing
ev_mono_kr1_01 has 959 (93.7%) missing valuesMissing
var417 has 1023 (100.0%) missing valuesMissing
ev_poly_kr1_01 has 962 (94.0%) missing valuesMissing
ev_col_kr1_01 has 959 (93.7%) missing valuesMissing
ev_az_r1_01 has 959 (93.7%) missing valuesMissing
ev_ratio_r1_01 has 958 (93.6%) missing valuesMissing
ev_fibra_kr1_01 has 959 (93.7%) missing valuesMissing
dfe_sup_r24h_res1 has 994 (97.2%) missing valuesMissing
res_dfe_af_r24h_r1 has 995 (97.3%) missing valuesMissing
dfe_af_r24h_res1 has 995 (97.3%) missing valuesMissing
dfe_af_r24h_r2 has 970 (94.8%) missing valuesMissing
res_dfe_af_r24h_r2_res2 has 970 (94.8%) missing valuesMissing
dfe_af_r24h_r2_resr2 has 970 (94.8%) missing valuesMissing
vitb2_r1 has 994 (97.2%) missing valuesMissing
vitb6_r1 has 994 (97.2%) missing valuesMissing
vitb12_r1 has 994 (97.2%) missing valuesMissing
biotina_r1 has 994 (97.2%) missing valuesMissing
colina_r1 has 993 (97.1%) missing valuesMissing
zn_r1 has 994 (97.2%) missing valuesMissing
vitb2_r2 has 964 (94.2%) missing valuesMissing
vitb6_r2 has 964 (94.2%) missing valuesMissing
vitb12_r2 has 964 (94.2%) missing valuesMissing
biotina_r2 has 964 (94.2%) missing valuesMissing
zn_r2 has 964 (94.2%) missing valuesMissing
colina_r242 has 964 (94.2%) missing valuesMissing
res_vitb12_r1 has 994 (97.2%) missing valuesMissing
vitb12_r1_res1 has 994 (97.2%) missing valuesMissing
res_colina_r1 has 994 (97.2%) missing valuesMissing
colina_res1 has 994 (97.2%) missing valuesMissing
res_omega3_r1 has 994 (97.2%) missing valuesMissing
omega3_res1 has 994 (97.2%) missing valuesMissing
res_omega6_r1 has 994 (97.2%) missing valuesMissing
omega6_res1 has 994 (97.2%) missing valuesMissing
res_vitb2_r2 has 1000 (97.8%) missing valuesMissing
vitb12_r2_res2 has 1000 (97.8%) missing valuesMissing
res_colina_r242 has 965 (94.3%) missing valuesMissing
colina_res2 has 965 (94.3%) missing valuesMissing
res_omega3_r2 has 965 (94.3%) missing valuesMissing
omega3_res2 has 965 (94.3%) missing valuesMissing
res_omega6_r2 has 965 (94.3%) missing valuesMissing
omega6_res2 has 965 (94.3%) missing valuesMissing
histidina_r1 has 993 (97.1%) missing valuesMissing
isoleucina_r1 has 993 (97.1%) missing valuesMissing
leucina_r1 has 993 (97.1%) missing valuesMissing
lisina_r1 has 993 (97.1%) missing valuesMissing
metionina_r1 has 993 (97.1%) missing valuesMissing
fenilalanina_r1 has 993 (97.1%) missing valuesMissing
treonina_r1 has 993 (97.1%) missing valuesMissing
triptofano_r1 has 993 (97.1%) missing valuesMissing
valina_r1 has 993 (97.1%) missing valuesMissing
histidina_r2 has 964 (94.2%) missing valuesMissing
isoleucina_r2 has 964 (94.2%) missing valuesMissing
leucina_r2 has 964 (94.2%) missing valuesMissing
lisina_r2 has 964 (94.2%) missing valuesMissing
metionina_r2 has 964 (94.2%) missing valuesMissing
fenilananina_r2 has 964 (94.2%) missing valuesMissing
treonina_r2 has 964 (94.2%) missing valuesMissing
triptofano_r2 has 964 (94.2%) missing valuesMissing
valina_r2 has 964 (94.2%) missing valuesMissing
res_dfe_r24h has 994 (97.2%) missing valuesMissing
pct_1avmm has 992 (97.0%) missing valuesMissing
AMB1 has 992 (97.0%) missing valuesMissing
AMB2 has 992 (97.0%) missing valuesMissing
ev_cons_prot1 has 994 (97.2%) missing valuesMissing
res_dfe_r24 has 994 (97.2%) missing valuesMissing
dfe_r24h_res1 has 994 (97.2%) missing valuesMissing
ev_dfe_r1 has 994 (97.2%) missing valuesMissing
res_dfe_r24h2 has 965 (94.3%) missing valuesMissing
dfe_r24h2_res2 has 965 (94.3%) missing valuesMissing
dfe_r24h_r2_res2 has 965 (94.3%) missing valuesMissing
res_dfe_r24hr2 has 965 (94.3%) missing valuesMissing
dfe_r24h2_resr2 has 965 (94.3%) missing valuesMissing
dfe_r2 has 965 (94.3%) missing valuesMissing
res_dfe_r2 has 965 (94.3%) missing valuesMissing
dfe_res2 has 965 (94.3%) missing valuesMissing
res_ffq_dfe has 994 (97.2%) missing valuesMissing
dfe_ffq_res has 994 (97.2%) missing valuesMissing
ev_dfe_ffq has 994 (97.2%) missing valuesMissing
res_ddfe_r24h2 has 1001 (97.8%) missing valuesMissing
dfe_dfe_r24h2_res2 has 1001 (97.8%) missing valuesMissing
ev_dfe_r2 has 1001 (97.8%) missing valuesMissing
rs1627238_T has 25 (2.4%) missing valuesMissing
rs1171278_T has 21 (2.1%) missing valuesMissing
rs1137100_G has 25 (2.4%) missing valuesMissing
rs7554506_A has 21 (2.1%) missing valuesMissing
rs5742904_0 has 18 (1.8%) missing valuesMissing
rs693_T has 26 (2.5%) missing valuesMissing
rs562338_T has 22 (2.2%) missing valuesMissing
rs4402960_T has 19 (1.9%) missing valuesMissing
rs1470579_C has 19 (1.9%) missing valuesMissing
rs266729_G has 21 (2.1%) missing valuesMissing
rs2241766_0 has 52 (5.1%) missing valuesMissing
rs1501299_T has 18 (1.8%) missing valuesMissing
rs7754840_C has 29 (2.8%) missing valuesMissing
rs4607517_A has 22 (2.2%) missing valuesMissing
rs12678919_G has 22 (2.2%) missing valuesMissing
rs9282541_T has 23 (2.2%) missing valuesMissing
rs1883025_A has 20 (2.0%) missing valuesMissing
rs7901695_C has 32 (3.1%) missing valuesMissing
rs4506565_T has 18 (1.8%) missing valuesMissing
rs7903146_T has 20 (2.0%) missing valuesMissing
rs12243326_C has 17 (1.7%) missing valuesMissing
rs231362_T has 21 (2.1%) missing valuesMissing
rs163184_T has 17 (1.7%) missing valuesMissing
rs2237897_T has 20 (2.0%) missing valuesMissing
rs10830963_G has 18 (1.8%) missing valuesMissing
rs964184_G has 18 (1.8%) missing valuesMissing
rs3135506_C has 19 (1.9%) missing valuesMissing
rs662799_G has 19 (1.9%) missing valuesMissing
rs2041139_A has 24 (2.3%) missing valuesMissing
rs10468017_T has 22 (2.2%) missing valuesMissing
rs1532085_A has 22 (2.2%) missing valuesMissing
rs13342232_G has 21 (2.1%) missing valuesMissing
rs13342692_C has 19 (1.9%) missing valuesMissing
dosis_fol_cat has 826 (80.7%) missing valuesMissing
cambio_adec has 1012 (98.9%) missing valuesMissing
prot_kg has 998 (97.6%) missing valuesMissing
acfol_dosis_mcg has 826 (80.7%) missing valuesMissing
pesorn_plac has 763 (74.6%) missing valuesMissing
termino_rn2 has 448 (43.8%) missing valuesMissing
AST_pv has 998 (97.6%) missing valuesMissing
ALT_pv has 998 (97.6%) missing valuesMissing
AST_dx has 572 (55.9%) missing valuesMissing
ALT_dx has 571 (55.8%) missing valuesMissing
acfol_dx_cat has 569 (55.6%) missing valuesMissing
log_vb12_dx has 573 (56.0%) missing valuesMissing
vb12_dx_cat has 573 (56.0%) missing valuesMissing
sdg2 has 143 (14.0%) missing valuesMissing
acfol_dosis_mil has 826 (80.7%) missing valuesMissing
rs1801133_T2 has 20 (2.0%) missing valuesMissing
rs1805087_G2 has 20 (2.0%) missing valuesMissing
rs1805087_G3 has 20 (2.0%) missing valuesMissing
rs2119289_G2 has 25 (2.4%) missing valuesMissing
rs11254363_G2 has 19 (1.9%) missing valuesMissing
acfol_dx_ext has 569 (55.6%) missing valuesMissing
homo_dx_cat has 569 (55.6%) missing valuesMissing
homo_dx_cat2 has 569 (55.6%) missing valuesMissing
homo_dx_cat3 has 16 (1.6%) missing valuesMissing
vb12_q has 428 (41.8%) missing valuesMissing
acfol_q has 427 (41.7%) missing valuesMissing
homo_q has 435 (42.5%) missing valuesMissing
IFG has 35 (3.4%) missing valuesMissing
IGT has 246 (24.0%) missing valuesMissing
_Irs1051266_1 has 21 (2.1%) missing valuesMissing
_Irs1051266_2 has 21 (2.1%) missing valuesMissing
_Irs1Xacfol_1 has 428 (41.8%) missing valuesMissing
_Irs1Xacfol_2 has 428 (41.8%) missing valuesMissing
_Iobs_h_1 has 53 (5.2%) missing valuesMissing
ayuno_dx_alt has 35 (3.4%) missing valuesMissing
t60_dx_alt has 36 (3.5%) missing valuesMissing
t120_dx_alt has 35 (3.4%) missing valuesMissing
t180_dx_alt has 107 (10.5%) missing valuesMissing
var_alt has 35 (3.4%) missing valuesMissing
rs2237892_T has 22 (2.2%) missing valuesMissing
rs1801131_C has 23 (2.2%) missing valuesMissing
pc1 has 945 (92.4%) missing valuesMissing
pc2 has 945 (92.4%) missing valuesMissing
PC1 has 17 (1.7%) missing valuesMissing
PC2 has 17 (1.7%) missing valuesMissing
PC3 has 17 (1.7%) missing valuesMissing
PC4 has 17 (1.7%) missing valuesMissing
PC5 has 17 (1.7%) missing valuesMissing
PC6 has 17 (1.7%) missing valuesMissing
PC7 has 17 (1.7%) missing valuesMissing
PC8 has 17 (1.7%) missing valuesMissing
PC9 has 17 (1.7%) missing valuesMissing
PC10 has 17 (1.7%) missing valuesMissing
aborto_rn is highly skewed (γ1 = 26.92582404)Skewed
ast_pv is an unsupported type, check if it needs cleaning or further analysisUnsupported
alt_pv is an unsupported type, check if it needs cleaning or further analysisUnsupported
registro is an unsupported type, check if it needs cleaning or further analysisUnsupported
fur is an unsupported type, check if it needs cleaning or further analysisUnsupported
fecha_encuesta is an unsupported type, check if it needs cleaning or further analysisUnsupported
fecha_muestra is an unsupported type, check if it needs cleaning or further analysisUnsupported
sdg_tamiz is an unsupported type, check if it needs cleaning or further analysisUnsupported
tam_0 is an unsupported type, check if it needs cleaning or further analysisUnsupported
tam_120 is an unsupported type, check if it needs cleaning or further analysisUnsupported
ph_a is an unsupported type, check if it needs cleaning or further analysisUnsupported
po2_a is an unsupported type, check if it needs cleaning or further analysisUnsupported
pco2_a is an unsupported type, check if it needs cleaning or further analysisUnsupported
ph_v is an unsupported type, check if it needs cleaning or further analysisUnsupported
po2_v is an unsupported type, check if it needs cleaning or further analysisUnsupported
pco2_v is an unsupported type, check if it needs cleaning or further analysisUnsupported
telefono is an unsupported type, check if it needs cleaning or further analysisUnsupported
gancia_3ertrim is an unsupported type, check if it needs cleaning or further analysisUnsupported
adecuacion_energia1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
acfsup_dosis_mg2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
var417 is an unsupported type, check if it needs cleaning or further analysisUnsupported
rs1801133_G has 314 (30.7%) zerosZeros
rs3737965_T has 925 (90.4%) zerosZeros
rs12085006_G has 343 (33.5%) zerosZeros
rs1999594_T has 308 (30.1%) zerosZeros
rs4654748_C has 254 (24.8%) zerosZeros
rs1805087_G has 644 (63.0%) zerosZeros
rs982393_A has 763 (74.6%) zerosZeros
rs2119289_G has 760 (74.3%) zerosZeros
rs2372536_G has 420 (41.1%) zerosZeros
rs153734_G has 848 (82.9%) zerosZeros
rs1127717_G has 820 (80.2%) zerosZeros
rs1801394_G has 642 (62.8%) zerosZeros
rs3733890_A has 378 (37.0%) zerosZeros
rs9473555_C has 703 (68.7%) zerosZeros
rs1141321_A has 712 (69.6%) zerosZeros
rs573904_T has 610 (59.6%) zerosZeros
rs11254363_G has 799 (78.1%) zerosZeros
rs1801222_T has 662 (64.7%) zerosZeros
rs11041321_T has 941 (92.0%) zerosZeros
rs202676_C has 508 (49.7%) zerosZeros
rs526934_G has 660 (64.5%) zerosZeros
rs2236225_C has 399 (39.0%) zerosZeros
rs1979277_A has 576 (56.3%) zerosZeros
rs492602_C has 649 (63.4%) zerosZeros
rs601338_A has 648 (63.3%) zerosZeros
rs602662_A has 632 (61.8%) zerosZeros
rs1569686_G has 629 (61.5%) zerosZeros
rs2424913_C has 614 (60.0%) zerosZeros
rs8788_G has 848 (82.9%) zerosZeros
rs1051266_A has 324 (31.7%) zerosZeros
rs1801198_G has 483 (47.2%) zerosZeros
hoja_datos has 220 (21.5%) zerosZeros
exclusion has 849 (83.0%) zerosZeros
ev_1ertrim has 977 (95.5%) zerosZeros
ev_dieta has 945 (92.4%) zerosZeros
biopsias has 955 (93.4%) zerosZeros
reiterativa has 1007 (98.4%) zerosZeros
estado has 487 (47.6%) zerosZeros
obs_h has 774 (75.7%) zerosZeros
sdg_dx has 192 (18.8%) zerosZeros
dx_inicio has 487 (47.6%) zerosZeros
dx_pp has 229 (22.4%) zerosZeros
ichos_pregesta has 799 (78.1%) zerosZeros
hta_pregesta has 798 (78.0%) zerosZeros
sop has 802 (78.4%) zerosZeros
hipotiroidismo has 806 (78.8%) zerosZeros
hipertiroidismo has 813 (79.5%) zerosZeros
consumo_alcohol has 365 (35.7%) zerosZeros
consumo_tabaco has 352 (34.4%) zerosZeros
anticonceptivo has 218 (21.3%) zerosZeros
ah_dm has 258 (25.2%) zerosZeros
ah_hta has 484 (47.3%) zerosZeros
ah_ob has 858 (83.9%) zerosZeros
ah_dg has 935 (91.4%) zerosZeros
ant_dg has 794 (77.6%) zerosZeros
ant_aborto has 623 (60.9%) zerosZeros
ant_obito has 906 (88.6%) zerosZeros
ant_mnt has 904 (88.4%) zerosZeros
ant_malformado has 796 (77.8%) zerosZeros
ant_macrosomico has 899 (87.9%) zerosZeros
cesarea_iter has 941 (92.0%) zerosZeros
ema has 631 (61.7%) zerosZeros
alta_paridad has 541 (52.9%) zerosZeros
estatura_baja has 830 (81.1%) zerosZeros
pgr has 809 (79.1%) zerosZeros
infeccion_pregesta has 605 (59.1%) zerosZeros
embarazo_multiple has 920 (89.9%) zerosZeros
preeclampsia has 860 (84.1%) zerosZeros
polihidramnios has 875 (85.5%) zerosZeros
hidramnios has 878 (85.8%) zerosZeros
infeccion_gesta has 717 (70.1%) zerosZeros
ac_fol_pregesta has 192 (18.8%) zerosZeros
sdg_fol has 38 (3.7%) zerosZeros
trim_fol has 40 (3.9%) zerosZeros
tx_ins has 812 (79.4%) zerosZeros
modo_parto has 149 (14.6%) zerosZeros
macrosomia_rn has 13 (1.3%) zerosZeros
percentil_peso has 13 (1.3%) zerosZeros
malformaciones_rn has 703 (68.7%) zerosZeros
app has 594 (58.1%) zerosZeros
aborto_rn has 724 (70.8%) zerosZeros
obito_rn has 719 (70.3%) zerosZeros
mnt_rn has 721 (70.5%) zerosZeros
muestra_gesta_estudio has 206 (20.1%) zerosZeros
tiene_pareja has 34 (3.3%) zerosZeros
paciente_trabaja has 172 (16.8%) zerosZeros
no_cuartos has 139 (13.6%) zerosZeros
no_banos has 21 (2.1%) zerosZeros
regadera has 43 (4.2%) zerosZeros
no_focos has 74 (7.2%) zerosZeros
piso_hogar has 133 (13.0%) zerosZeros
no_autos has 167 (16.3%) zerosZeros
no_computador has 126 (12.3%) zerosZeros
estufa has 27 (2.6%) zerosZeros
estudio_max has 27 (2.6%) zerosZeros
supl_preconcep has 82 (8.0%) zerosZeros
supl_1erTrim has 36 (3.5%) zerosZeros
Multi0_acfol1 has 29 (2.8%) zerosZeros
iniciosupl_sdg has 12 (1.2%) zerosZeros
AcFolico_papa has 86 (8.4%) zerosZeros
Multi0_acfol1_3 has 14 (1.4%) zerosZeros
estado2 has 487 (47.6%) zerosZeros
acfol_dosis2 has 60 (5.9%) zerosZeros
supl_temp has 158 (15.4%) zerosZeros
irs12rs19 has 560 (54.7%) zerosZeros
irs12rs19a has 344 (33.6%) zerosZeros
datospp has 880 (86.0%) zerosZeros
acfol_dosis4 has 60 (5.9%) zerosZeros
multi_af has 39 (3.8%) zerosZeros
rs1801133_T has 199 (19.5%) zerosZeros
irs180113 has 864 (84.5%) zerosZeros
PAT has 1006 (98.3%) zerosZeros
MAT has 1006 (98.3%) zerosZeros
rs13007334_T has 534 (52.2%) zerosZeros
rs900400_C has 367 (35.9%) zerosZeros
rs724577_A has 372 (36.4%) zerosZeros
rs6893114_T has 468 (45.7%) zerosZeros
rs4432842_T has 500 (48.9%) zerosZeros
rs2560424_A has 782 (76.4%) zerosZeros
rs121913223_0 has 992 (97.0%) zerosZeros
rs6931514_G has 475 (46.4%) zerosZeros
rs6558702_G has 368 (36.0%) zerosZeros
rs5030937_G has 268 (26.2%) zerosZeros
rs4746822_C has 296 (28.9%) zerosZeros
rs1801253_G has 790 (77.2%) zerosZeros
rs149483638_T has 572 (55.9%) zerosZeros
rs3842753_A has 634 (62.0%) zerosZeros
rs689_T has 638 (62.4%) zerosZeros
rs202673_G has 716 (70.0%) zerosZeros
rs1042725_C has 475 (46.4%) zerosZeros
rs1950902_T has 841 (82.2%) zerosZeros
rs16948305_T has 911 (89.1%) zerosZeros
rs2228611_G has 266 (26.0%) zerosZeros
rs6517656_A has 734 (71.7%) zerosZeros
rs2277820_C has 471 (46.0%) zerosZeros
hiperglu_1av has 27 (2.6%) zerosZeros
clasif_imc has 33 (3.2%) zerosZeros
supl_1ertrim has 19 (1.9%) zerosZeros
multi0_acfol1 has 18 (1.8%) zerosZeros
acfolico_papa has 56 (5.5%) zerosZeros
multi0_acfol1_3 has 14 (1.4%) zerosZeros
gal_r1 has 25 (2.4%) zerosZeros
mal_r1 has 16 (1.6%) zerosZeros
gal_r2 has 50 (4.9%) zerosZeros
lac_r2 has 13 (1.3%) zerosZeros
mal_r2 has 34 (3.3%) zerosZeros
gal_fca has 27 (2.6%) zerosZeros
caf_r1 has 18 (1.8%) zerosZeros
caf_r2 has 36 (3.5%) zerosZeros
ev_mono_kr1 has 19 (1.9%) zerosZeros
ev_mono_kffq has 54 (5.3%) zerosZeros
ev_poly_kr1 has 18 (1.8%) zerosZeros
ev_poly_kr2 has 44 (4.3%) zerosZeros
ev_poly_kffq has 56 (5.5%) zerosZeros
ev_col_kr1 has 12 (1.2%) zerosZeros
ev_col_kr2 has 37 (3.6%) zerosZeros
ev_col_kffq has 35 (3.4%) zerosZeros
ev_fibra_kr1 has 29 (2.8%) zerosZeros
ev_fibra_kr2 has 56 (5.5%) zerosZeros
ev_fibra_kffq has 62 (6.1%) zerosZeros
ev_ratio_r1 has 19 (1.9%) zerosZeros
ev_ratio_r2 has 45 (4.4%) zerosZeros
ev_ratio_ffq has 50 (4.9%) zerosZeros
ev_adec_r2 has 12 (1.2%) zerosZeros
ev_omega3_r1 has 25 (2.4%) zerosZeros
ev_omega6_r1 has 21 (2.1%) zerosZeros
ev_omega3_r2 has 55 (5.4%) zerosZeros
ev_omega6_r2 has 49 (4.8%) zerosZeros
ev_plipidos has 17 (1.7%) zerosZeros
ev_plipidos_r2 has 38 (3.7%) zerosZeros
ev_adec_r1_01 has 18 (1.8%) zerosZeros
ev_mono_kr1_01 has 19 (1.9%) zerosZeros
ev_poly_kr1_01 has 45 (4.4%) zerosZeros
ev_col_kr1_01 has 36 (3.5%) zerosZeros
ev_ratio_r1_01 has 45 (4.4%) zerosZeros
ev_fibra_kr1_01 has 64 (6.3%) zerosZeros
ev_dfe_ffq has 13 (1.3%) zerosZeros
rs1627238_T has 473 (46.2%) zerosZeros
rs1171278_T has 472 (46.1%) zerosZeros
rs1137100_G has 475 (46.4%) zerosZeros
rs7554506_A has 733 (71.7%) zerosZeros
rs5742904_0 has 1005 (98.2%) zerosZeros
rs693_T has 433 (42.3%) zerosZeros
rs562338_T has 810 (79.2%) zerosZeros
rs4402960_T has 623 (60.9%) zerosZeros
rs1470579_C has 617 (60.3%) zerosZeros
rs266729_G has 400 (39.1%) zerosZeros
rs2241766_0 has 971 (94.9%) zerosZeros
rs1501299_T has 569 (55.6%) zerosZeros
rs7754840_C has 478 (46.7%) zerosZeros
rs4607517_A has 633 (61.9%) zerosZeros
rs12678919_G has 915 (89.4%) zerosZeros
rs9282541_T has 797 (77.9%) zerosZeros
rs1883025_A has 501 (49.0%) zerosZeros
rs7901695_C has 686 (67.1%) zerosZeros
rs4506565_T has 694 (67.8%) zerosZeros
rs7903146_T has 716 (70.0%) zerosZeros
rs12243326_C has 766 (74.9%) zerosZeros
rs231362_T has 576 (56.3%) zerosZeros
rs163184_T has 253 (24.7%) zerosZeros
rs2237897_T has 492 (48.1%) zerosZeros
rs10830963_G has 596 (58.3%) zerosZeros
rs964184_G has 416 (40.7%) zerosZeros
rs3135506_C has 701 (68.5%) zerosZeros
rs662799_G has 675 (66.0%) zerosZeros
rs2041139_A has 945 (92.4%) zerosZeros
rs10468017_T has 738 (72.1%) zerosZeros
rs1532085_A has 398 (38.9%) zerosZeros
rs13342232_G has 399 (39.0%) zerosZeros
rs13342692_C has 400 (39.1%) zerosZeros
termino_rn2 has 427 (41.7%) zerosZeros
AST_dx has 13 (1.3%) zerosZeros
acfol_dx_cat has 11 (1.1%) zerosZeros
vb12_dx_cat has 137 (13.4%) zerosZeros
sdg2 has 95 (9.3%) zerosZeros
acfol_dosis_mil has 96 (9.4%) zerosZeros
rs1801133_T2 has 199 (19.5%) zerosZeros
rs1805087_G2 has 644 (63.0%) zerosZeros
rs1805087_G3 has 957 (93.5%) zerosZeros
rs2119289_G2 has 760 (74.3%) zerosZeros
rs11254363_G2 has 799 (78.1%) zerosZeros
acfol_dx_ext has 46 (4.5%) zerosZeros
homo_dx_cat has 429 (41.9%) zerosZeros
homo_dx_cat2 has 390 (38.1%) zerosZeros
homo_dx_cat3 has 114 (11.1%) zerosZeros
IFG has 777 (76.0%) zerosZeros
IGT has 444 (43.4%) zerosZeros
_Irs1051266_1 has 509 (49.8%) zerosZeros
_Irs1051266_2 has 817 (79.9%) zerosZeros
_Irs1Xacfol_1 has 305 (29.8%) zerosZeros
_Irs1Xacfol_2 has 485 (47.4%) zerosZeros
_Iobs_h_1 has 774 (75.7%) zerosZeros
ayuno_dx_alt has 769 (75.2%) zerosZeros
t60_dx_alt has 625 (61.1%) zerosZeros
t120_dx_alt has 600 (58.7%) zerosZeros
t180_dx_alt has 661 (64.6%) zerosZeros
var_alt has 487 (47.6%) zerosZeros
rs2237892_T has 99 (9.7%) zerosZeros
aim_118 has 17 (1.7%) zerosZeros
aim_32 has 945 (92.4%) zerosZeros

Reproduction

Analysis started2024-05-04 22:22:07.158703
Analysis finished2024-05-04 22:22:13.873747
Duration6.72 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

IID
Text

Distinct1022
Distinct (%)100.0%
Missing1
Missing (%)0.1%
Memory size8.1 KiB
2024-05-04T15:22:14.566928image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.968688845
Min length5

Characters and Unicode

Total characters7122
Distinct characters36
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1022 ?
Unique (%)100.0%

Sample

1st rowCM264
2nd rowCM266
3rd rowCM267
4th rowCM271
5th rowCM272
ValueCountFrequency (%)
dg65z52 1
 
0.1%
cm289 1
 
0.1%
cm266 1
 
0.1%
cm267 1
 
0.1%
cm271 1
 
0.1%
cm272 1
 
0.1%
cm273 1
 
0.1%
cm275 1
 
0.1%
cm277 1
 
0.1%
cm279 1
 
0.1%
Other values (1012) 1012
99.0%
2024-05-04T15:22:15.179027image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
G 1049
14.7%
D 1043
14.6%
5 438
 
6.1%
8 430
 
6.0%
6 429
 
6.0%
7 422
 
5.9%
2 413
 
5.8%
1 413
 
5.8%
4 392
 
5.5%
3 382
 
5.4%
Other values (26) 1711
24.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7122
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
G 1049
14.7%
D 1043
14.6%
5 438
 
6.1%
8 430
 
6.0%
6 429
 
6.0%
7 422
 
5.9%
2 413
 
5.8%
1 413
 
5.8%
4 392
 
5.5%
3 382
 
5.4%
Other values (26) 1711
24.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7122
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
G 1049
14.7%
D 1043
14.6%
5 438
 
6.1%
8 430
 
6.0%
6 429
 
6.0%
7 422
 
5.9%
2 413
 
5.8%
1 413
 
5.8%
4 392
 
5.5%
3 382
 
5.4%
Other values (26) 1711
24.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7122
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
G 1049
14.7%
D 1043
14.6%
5 438
 
6.1%
8 430
 
6.0%
6 429
 
6.0%
7 422
 
5.9%
2 413
 
5.8%
1 413
 
5.8%
4 392
 
5.5%
3 382
 
5.4%
Other values (26) 1711
24.0%

id
Text

MISSING 

Distinct1007
Distinct (%)100.0%
Missing16
Missing (%)1.6%
Memory size8.1 KiB
2024-05-04T15:22:15.566988image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.776564052
Min length4

Characters and Unicode

Total characters4810
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1007 ?
Unique (%)100.0%

Sample

1st rowHG122
2nd rowGC79
3rd rowHG082
4th rowGD305
5th rowGD205
ValueCountFrequency (%)
m037 1
 
0.1%
m058 1
 
0.1%
gd092 1
 
0.1%
gc79 1
 
0.1%
hg082 1
 
0.1%
gd305 1
 
0.1%
gd205 1
 
0.1%
hn37 1
 
0.1%
hn213 1
 
0.1%
hn258 1
 
0.1%
Other values (997) 997
99.0%
2024-05-04T15:22:16.183613image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
G 601
12.5%
0 551
11.5%
1 507
10.5%
2 432
 
9.0%
H 347
 
7.2%
C 327
 
6.8%
D 274
 
5.7%
N 226
 
4.7%
3 212
 
4.4%
5 206
 
4.3%
Other values (6) 1127
23.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4810
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
G 601
12.5%
0 551
11.5%
1 507
10.5%
2 432
 
9.0%
H 347
 
7.2%
C 327
 
6.8%
D 274
 
5.7%
N 226
 
4.7%
3 212
 
4.4%
5 206
 
4.3%
Other values (6) 1127
23.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4810
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
G 601
12.5%
0 551
11.5%
1 507
10.5%
2 432
 
9.0%
H 347
 
7.2%
C 327
 
6.8%
D 274
 
5.7%
N 226
 
4.7%
3 212
 
4.4%
5 206
 
4.3%
Other values (6) 1127
23.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4810
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
G 601
12.5%
0 551
11.5%
1 507
10.5%
2 432
 
9.0%
H 347
 
7.2%
C 327
 
6.8%
D 274
 
5.7%
N 226
 
4.7%
3 212
 
4.4%
5 206
 
4.3%
Other values (6) 1127
23.4%

id_muestra_det
Text

MISSING 

Distinct604
Distinct (%)100.0%
Missing419
Missing (%)41.0%
Memory size8.1 KiB
2024-05-04T15:22:16.719972image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.912251656
Min length4

Characters and Unicode

Total characters2967
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique604 ?
Unique (%)100.0%

Sample

1st rowGD305
2nd rowGD205
3rd rowCM108
4th rowHG078
5th rowHG112
ValueCountFrequency (%)
gc134 1
 
0.2%
gd237 1
 
0.2%
gd205 1
 
0.2%
cm108 1
 
0.2%
hg078 1
 
0.2%
hg112 1
 
0.2%
hg019 1
 
0.2%
m058 1
 
0.2%
cm048 1
 
0.2%
hg119 1
 
0.2%
Other values (594) 594
98.3%
2024-05-04T15:22:17.327375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
G 403
13.6%
0 374
12.6%
1 344
11.6%
2 261
8.8%
C 214
 
7.2%
D 186
 
6.3%
H 169
 
5.7%
M 140
 
4.7%
3 137
 
4.6%
6 123
 
4.1%
Other values (9) 616
20.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2967
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
G 403
13.6%
0 374
12.6%
1 344
11.6%
2 261
8.8%
C 214
 
7.2%
D 186
 
6.3%
H 169
 
5.7%
M 140
 
4.7%
3 137
 
4.6%
6 123
 
4.1%
Other values (9) 616
20.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2967
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
G 403
13.6%
0 374
12.6%
1 344
11.6%
2 261
8.8%
C 214
 
7.2%
D 186
 
6.3%
H 169
 
5.7%
M 140
 
4.7%
3 137
 
4.6%
6 123
 
4.1%
Other values (9) 616
20.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2967
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
G 403
13.6%
0 374
12.6%
1 344
11.6%
2 261
8.8%
C 214
 
7.2%
D 186
 
6.3%
H 169
 
5.7%
M 140
 
4.7%
3 137
 
4.6%
6 123
 
4.1%
Other values (9) 616
20.8%

ast_pv
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1023
Missing (%)100.0%
Memory size8.1 KiB

alt_pv
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1023
Missing (%)100.0%
Memory size8.1 KiB

crea_pv
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)68.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean0.5716
Minimum0.44
Maximum0.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:17.488582image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.44
5-th percentile0.46
Q10.52
median0.56
Q30.64
95-th percentile0.708
Maximum0.77
Range0.33
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.08459117369
Coefficient of variation (CV)0.1479901569
Kurtosis-0.2066033585
Mean0.5716
Median Absolute Deviation (MAD)0.05
Skewness0.585968573
Sum14.29
Variance0.007155666667
MonotonicityNot monotonic
2024-05-04T15:22:17.652014image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.53 4
 
0.4%
0.58 2
 
0.2%
0.6 2
 
0.2%
0.46 2
 
0.2%
0.65 2
 
0.2%
0.52 2
 
0.2%
0.5 1
 
0.1%
0.56 1
 
0.1%
0.51 1
 
0.1%
0.71 1
 
0.1%
Other values (7) 7
 
0.7%
(Missing) 998
97.6%
ValueCountFrequency (%)
0.44 1
0.1%
0.46 2
0.2%
0.49 1
0.1%
0.5 1
0.1%
0.51 1
0.1%
ValueCountFrequency (%)
0.77 1
0.1%
0.71 1
0.1%
0.7 1
0.1%
0.66 1
0.1%
0.65 2
0.2%

homo_pv
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean6.8752
Minimum4.04
Maximum12.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:17.828779image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.04
5-th percentile5.334
Q15.96
median6.48
Q37.47
95-th percentile10.048
Maximum12.15
Range8.11
Interquartile range (IQR)1.51

Descriptive statistics

Standard deviation1.681128391
Coefficient of variation (CV)0.2445206526
Kurtosis3.41649167
Mean6.8752
Median Absolute Deviation (MAD)0.84
Skewness1.545844512
Sum171.88
Variance2.826192667
MonotonicityNot monotonic
2024-05-04T15:22:18.022657image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
9 1
 
0.1%
4.04 1
 
0.1%
5.59 1
 
0.1%
12.15 1
 
0.1%
5.3 1
 
0.1%
6.14 1
 
0.1%
7.21 1
 
0.1%
6.84 1
 
0.1%
7.5 1
 
0.1%
5.96 1
 
0.1%
Other values (15) 15
 
1.5%
(Missing) 998
97.6%
ValueCountFrequency (%)
4.04 1
0.1%
5.3 1
0.1%
5.47 1
0.1%
5.59 1
0.1%
5.64 1
0.1%
ValueCountFrequency (%)
12.15 1
0.1%
10.31 1
0.1%
9 1
0.1%
8.01 1
0.1%
7.73 1
0.1%

vb12_pv
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)88.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean352.84
Minimum222
Maximum545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:18.219732image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile237.8
Q1275
median333
Q3415
95-th percentile495
Maximum545
Range323
Interquartile range (IQR)140

Descriptive statistics

Standard deviation92.05373431
Coefficient of variation (CV)0.2608937034
Kurtosis-0.9085447286
Mean352.84
Median Absolute Deviation (MAD)69
Skewness0.4691598163
Sum8821
Variance8473.89
MonotonicityNot monotonic
2024-05-04T15:22:18.413939image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
264 2
 
0.2%
282 2
 
0.2%
275 2
 
0.2%
235 1
 
0.1%
345 1
 
0.1%
249 1
 
0.1%
414 1
 
0.1%
473 1
 
0.1%
372 1
 
0.1%
455 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 998
97.6%
ValueCountFrequency (%)
222 1
0.1%
235 1
0.1%
249 1
0.1%
264 2
0.2%
275 2
0.2%
ValueCountFrequency (%)
545 1
0.1%
499 1
0.1%
479 1
0.1%
473 1
0.1%
455 1
0.1%

acfol_pv
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean27.78
Minimum9.3
Maximum49.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:18.588023image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum9.3
5-th percentile15.18
Q121.3
median27.7
Q334.4
95-th percentile40.3
Maximum49.2
Range39.9
Interquartile range (IQR)13.1

Descriptive statistics

Standard deviation9.309896168
Coefficient of variation (CV)0.3351294517
Kurtosis-0.1662767928
Mean27.78
Median Absolute Deviation (MAD)6.7
Skewness0.1247158955
Sum694.5
Variance86.67416667
MonotonicityNot monotonic
2024-05-04T15:22:18.807607image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20.5 1
 
0.1%
24.9 1
 
0.1%
34.5 1
 
0.1%
9.3 1
 
0.1%
15 1
 
0.1%
27.7 1
 
0.1%
49.2 1
 
0.1%
21.4 1
 
0.1%
37.1 1
 
0.1%
25.5 1
 
0.1%
Other values (15) 15
 
1.5%
(Missing) 998
97.6%
ValueCountFrequency (%)
9.3 1
0.1%
15 1
0.1%
15.9 1
0.1%
16.3 1
0.1%
20.5 1
0.1%
ValueCountFrequency (%)
49.2 1
0.1%
41.1 1
0.1%
37.1 1
0.1%
36.3 1
0.1%
35.1 1
0.1%

ast_dx
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)26.7%
Missing888
Missing (%)86.8%
Infinite0
Infinite (%)0.0%
Mean15.57037037
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:18.985300image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q18.5
median15
Q319
95-th percentile30.9
Maximum52
Range51
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation9.310194012
Coefficient of variation (CV)0.5979430027
Kurtosis3.252083172
Mean15.57037037
Median Absolute Deviation (MAD)6
Skewness1.415750495
Sum2102
Variance86.67971255
MonotonicityNot monotonic
2024-05-04T15:22:19.167769image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
17 12
 
1.2%
14 11
 
1.1%
18 9
 
0.9%
16 8
 
0.8%
6 7
 
0.7%
8 7
 
0.7%
21 7
 
0.7%
4 7
 
0.7%
9 6
 
0.6%
7 5
 
0.5%
Other values (26) 56
 
5.5%
(Missing) 888
86.8%
ValueCountFrequency (%)
1 1
 
0.1%
2 1
 
0.1%
3 2
 
0.2%
4 7
0.7%
5 4
0.4%
ValueCountFrequency (%)
52 1
0.1%
50 1
0.1%
47 1
0.1%
45 1
0.1%
40 1
0.1%

alt_dx
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)21.1%
Missing890
Missing (%)87.0%
Infinite0
Infinite (%)0.0%
Mean11.05263158
Minimum0
Maximum40
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:19.330200image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.6
Q17
median9
Q313
95-th percentile26.8
Maximum40
Range40
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.121580295
Coefficient of variation (CV)0.6443334553
Kurtosis3.437079254
Mean11.05263158
Median Absolute Deviation (MAD)3
Skewness1.704960066
Sum1470
Variance50.7169059
MonotonicityNot monotonic
2024-05-04T15:22:19.511438image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
8 16
 
1.6%
5 12
 
1.2%
10 10
 
1.0%
11 10
 
1.0%
12 10
 
1.0%
9 9
 
0.9%
7 9
 
0.9%
6 9
 
0.9%
16 7
 
0.7%
14 6
 
0.6%
Other values (18) 35
 
3.4%
(Missing) 890
87.0%
ValueCountFrequency (%)
0 2
 
0.2%
2 2
 
0.2%
3 3
 
0.3%
4 5
0.5%
5 12
1.2%
ValueCountFrequency (%)
40 1
0.1%
37 1
0.1%
32 1
0.1%
31 1
0.1%
30 1
0.1%

crea_dx
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)21.9%
Missing767
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.6503515625
Minimum0.28
Maximum1.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:19.703392image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.28
5-th percentile0.42
Q10.54
median0.66
Q30.735
95-th percentile0.9
Maximum1.4
Range1.12
Interquartile range (IQR)0.195

Descriptive statistics

Standard deviation0.1517333621
Coefficient of variation (CV)0.2333097525
Kurtosis2.032197812
Mean0.6503515625
Median Absolute Deviation (MAD)0.11
Skewness0.5925176618
Sum166.49
Variance0.02302301317
MonotonicityNot monotonic
2024-05-04T15:22:19.957628image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7 52
 
5.1%
0.8 38
 
3.7%
0.6 28
 
2.7%
0.56 8
 
0.8%
0.9 8
 
0.8%
0.5 7
 
0.7%
0.43 6
 
0.6%
0.52 6
 
0.6%
0.53 6
 
0.6%
0.57 5
 
0.5%
Other values (46) 92
 
9.0%
(Missing) 767
75.0%
ValueCountFrequency (%)
0.28 1
0.1%
0.34 1
0.1%
0.35 1
0.1%
0.36 1
0.1%
0.37 1
0.1%
ValueCountFrequency (%)
1.4 1
0.1%
1.2 1
0.1%
1.1 1
0.1%
1 1
0.1%
0.92 2
0.2%

homo_dx
Real number (ℝ)

MISSING 

Distinct411
Distinct (%)69.9%
Missing435
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean7.720731293
Minimum3.9
Maximum26.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:20.304015image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile4.72
Q15.82
median7.05
Q38.93
95-th percentile12.699
Maximum26.99
Range23.09
Interquartile range (IQR)3.11

Descriptive statistics

Standard deviation2.774743473
Coefficient of variation (CV)0.3593886858
Kurtosis8.136560659
Mean7.720731293
Median Absolute Deviation (MAD)1.39
Skewness2.15100995
Sum4539.79
Variance7.699201338
MonotonicityNot monotonic
2024-05-04T15:22:20.534272image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.8 5
 
0.5%
5.17 5
 
0.5%
5.92 5
 
0.5%
5.88 5
 
0.5%
6.15 4
 
0.4%
5.23 4
 
0.4%
6.71 4
 
0.4%
8.02 4
 
0.4%
7.23 4
 
0.4%
5.31 4
 
0.4%
Other values (401) 544
53.2%
(Missing) 435
42.5%
ValueCountFrequency (%)
3.9 1
0.1%
3.92 1
0.1%
3.94 1
0.1%
3.95 1
0.1%
4 1
0.1%
ValueCountFrequency (%)
26.99 1
0.1%
23.13 1
0.1%
21.88 1
0.1%
21.57 1
0.1%
20.12 1
0.1%

vb12_dx
Real number (ℝ)

MISSING 

Distinct347
Distinct (%)58.3%
Missing428
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean453.5932773
Minimum70
Maximum7493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:20.748824image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile132.4
Q1191
median257
Q3378.5
95-th percentile1037.2
Maximum7493
Range7423
Interquartile range (IQR)187.5

Descriptive statistics

Standard deviation810.1144114
Coefficient of variation (CV)1.785992985
Kurtosis33.40983374
Mean453.5932773
Median Absolute Deviation (MAD)80
Skewness5.49225974
Sum269888
Variance656285.3596
MonotonicityNot monotonic
2024-05-04T15:22:20.948409image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
236 7
 
0.7%
213 6
 
0.6%
274 6
 
0.6%
177 5
 
0.5%
289 5
 
0.5%
178 5
 
0.5%
299 5
 
0.5%
179 5
 
0.5%
317 5
 
0.5%
161 5
 
0.5%
Other values (337) 541
52.9%
(Missing) 428
41.8%
ValueCountFrequency (%)
70 1
0.1%
80 1
0.1%
94 1
0.1%
100 1
0.1%
102 2
0.2%
ValueCountFrequency (%)
7493 1
0.1%
6653 1
0.1%
6634 1
0.1%
5828 1
0.1%
5481 1
0.1%

acfol_dx
Real number (ℝ)

MISSING 

Distinct297
Distinct (%)49.8%
Missing427
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean19.90184564
Minimum1.6
Maximum75.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:21.152437image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.6
5-th percentile6.175
Q113.175
median19.05
Q325.1
95-th percentile36.025
Maximum75.6
Range74
Interquartile range (IQR)11.925

Descriptive statistics

Standard deviation10.05608541
Coefficient of variation (CV)0.5052840621
Kurtosis4.788480262
Mean19.90184564
Median Absolute Deviation (MAD)6.05
Skewness1.328600833
Sum11861.5
Variance101.1248537
MonotonicityNot monotonic
2024-05-04T15:22:21.381394image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.6 7
 
0.7%
7.6 7
 
0.7%
22.8 6
 
0.6%
17.9 6
 
0.6%
15.6 6
 
0.6%
19.5 6
 
0.6%
16.8 6
 
0.6%
22.2 5
 
0.5%
20.5 5
 
0.5%
20.9 5
 
0.5%
Other values (287) 537
52.5%
(Missing) 427
41.7%
ValueCountFrequency (%)
1.6 1
0.1%
1.9 1
0.1%
2.2 1
0.1%
2.3 1
0.1%
2.6 2
0.2%
ValueCountFrequency (%)
75.6 1
0.1%
74.4 1
0.1%
71.7 1
0.1%
69.7 1
0.1%
63.2 1
0.1%

rs1801133_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.8853439681
Minimum0
Maximum2
Zeros314
Zeros (%)30.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:21.539436image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7062697236
Coefficient of variation (CV)0.7977348342
Kurtosis-0.9906571465
Mean0.8853439681
Median Absolute Deviation (MAD)1
Skewness0.1658587938
Sum888
Variance0.4988169225
MonotonicityNot monotonic
2024-05-04T15:22:21.704809image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 490
47.9%
0 314
30.7%
2 199
19.5%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 314
30.7%
1 490
47.9%
2 199
19.5%
ValueCountFrequency (%)
2 199
19.5%
1 490
47.9%
0 314
30.7%

rs3737965_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing19
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean0.08167330677
Minimum0
Maximum2
Zeros925
Zeros (%)90.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:21.878950image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2847096943
Coefficient of variation (CV)3.48595772
Kurtosis11.44952225
Mean0.08167330677
Median Absolute Deviation (MAD)0
Skewness3.44271732
Sum82
Variance0.08105961001
MonotonicityNot monotonic
2024-05-04T15:22:22.029193image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 925
90.4%
1 76
 
7.4%
2 3
 
0.3%
(Missing) 19
 
1.9%
ValueCountFrequency (%)
0 925
90.4%
1 76
 
7.4%
2 3
 
0.3%
ValueCountFrequency (%)
2 3
 
0.3%
1 76
 
7.4%
0 925
90.4%

rs12085006_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.873253493
Minimum0
Maximum2
Zeros343
Zeros (%)33.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:22.185663image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7364515142
Coefficient of variation (CV)0.8433421911
Kurtosis-1.137686191
Mean0.873253493
Median Absolute Deviation (MAD)1
Skewness0.2041819507
Sum875
Variance0.5423608328
MonotonicityNot monotonic
2024-05-04T15:22:22.327313image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 443
43.3%
0 343
33.5%
2 216
21.1%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 343
33.5%
1 443
43.3%
2 216
21.1%
ValueCountFrequency (%)
2 216
21.1%
1 443
43.3%
0 343
33.5%

rs1999594_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing26
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean0.9037111334
Minimum0
Maximum2
Zeros308
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:22.464675image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7161057874
Coefficient of variation (CV)0.7924056272
Kurtosis-1.043618702
Mean0.9037111334
Median Absolute Deviation (MAD)1
Skewness0.1436366101
Sum901
Variance0.5128074988
MonotonicityNot monotonic
2024-05-04T15:22:22.628118image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 477
46.6%
0 308
30.1%
2 212
20.7%
(Missing) 26
 
2.5%
ValueCountFrequency (%)
0 308
30.1%
1 477
46.6%
2 212
20.7%
ValueCountFrequency (%)
2 212
20.7%
1 477
46.6%
0 308
30.1%

rs4654748_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing30
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean0.9889224572
Minimum0
Maximum2
Zeros254
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:22.793231image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7077324557
Coefficient of variation (CV)0.7156602123
Kurtosis-1.000515318
Mean0.9889224572
Median Absolute Deviation (MAD)1
Skewness0.01571146861
Sum982
Variance0.5008852289
MonotonicityNot monotonic
2024-05-04T15:22:22.948075image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 496
48.5%
0 254
24.8%
2 243
23.8%
(Missing) 30
 
2.9%
ValueCountFrequency (%)
0 254
24.8%
1 496
48.5%
2 243
23.8%
ValueCountFrequency (%)
2 243
23.8%
1 496
48.5%
0 254
24.8%

rs1805087_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.4037886341
Minimum0
Maximum2
Zeros644
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:23.102828image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5768882068
Coefficient of variation (CV)1.428688571
Kurtosis0.2116907972
Mean0.4037886341
Median Absolute Deviation (MAD)0
Skewness1.099115313
Sum405
Variance0.3328000032
MonotonicityNot monotonic
2024-05-04T15:22:23.266166image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 644
63.0%
1 313
30.6%
2 46
 
4.5%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 644
63.0%
1 313
30.6%
2 46
 
4.5%
ValueCountFrequency (%)
2 46
 
4.5%
1 313
30.6%
0 644
63.0%

rs982393_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing26
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean0.2657973922
Minimum0
Maximum2
Zeros763
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:23.429989image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5075372571
Coefficient of variation (CV)1.909489228
Kurtosis2.215063205
Mean0.2657973922
Median Absolute Deviation (MAD)0
Skewness1.752124612
Sum265
Variance0.2575940673
MonotonicityNot monotonic
2024-05-04T15:22:23.588586image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 763
74.6%
1 203
 
19.8%
2 31
 
3.0%
(Missing) 26
 
2.5%
ValueCountFrequency (%)
0 763
74.6%
1 203
 
19.8%
2 31
 
3.0%
ValueCountFrequency (%)
2 31
 
3.0%
1 203
 
19.8%
0 763
74.6%

rs2119289_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing25
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean0.2565130261
Minimum0
Maximum2
Zeros760
Zeros (%)74.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:23.747622image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4764595538
Coefficient of variation (CV)1.857447792
Kurtosis1.628183355
Mean0.2565130261
Median Absolute Deviation (MAD)0
Skewness1.607322275
Sum256
Variance0.2270137065
MonotonicityNot monotonic
2024-05-04T15:22:23.903355image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 760
74.3%
1 220
 
21.5%
2 18
 
1.8%
(Missing) 25
 
2.4%
ValueCountFrequency (%)
0 760
74.3%
1 220
 
21.5%
2 18
 
1.8%
ValueCountFrequency (%)
2 18
 
1.8%
1 220
 
21.5%
0 760
74.3%

rs2372536_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing23
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean0.697
Minimum0
Maximum2
Zeros420
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:24.062733image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.667560212
Coefficient of variation (CV)0.9577621406
Kurtosis-0.7764044363
Mean0.697
Median Absolute Deviation (MAD)1
Skewness0.4366078043
Sum697
Variance0.4456366366
MonotonicityNot monotonic
2024-05-04T15:22:24.220650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 463
45.3%
0 420
41.1%
2 117
 
11.4%
(Missing) 23
 
2.2%
ValueCountFrequency (%)
0 420
41.1%
1 463
45.3%
2 117
 
11.4%
ValueCountFrequency (%)
2 117
 
11.4%
1 463
45.3%
0 420
41.1%

rs153734_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing18
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.1631840796
Minimum0
Maximum2
Zeros848
Zeros (%)82.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:24.364892image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.388117598
Coefficient of variation (CV)2.378403573
Kurtosis3.784184875
Mean0.1631840796
Median Absolute Deviation (MAD)0
Skewness2.178069626
Sum164
Variance0.1506352699
MonotonicityNot monotonic
2024-05-04T15:22:24.525421image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 848
82.9%
1 150
 
14.7%
2 7
 
0.7%
(Missing) 18
 
1.8%
ValueCountFrequency (%)
0 848
82.9%
1 150
 
14.7%
2 7
 
0.7%
ValueCountFrequency (%)
2 7
 
0.7%
1 150
 
14.7%
0 848
82.9%

rs1127717_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.1964107677
Minimum0
Maximum2
Zeros820
Zeros (%)80.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:25.098150image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4312020505
Coefficient of variation (CV)2.195409425
Kurtosis3.375210822
Mean0.1964107677
Median Absolute Deviation (MAD)0
Skewness2.04079209
Sum197
Variance0.1859352083
MonotonicityNot monotonic
2024-05-04T15:22:25.245675image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 820
80.2%
1 169
 
16.5%
2 14
 
1.4%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 820
80.2%
1 169
 
16.5%
2 14
 
1.4%
ValueCountFrequency (%)
2 14
 
1.4%
1 169
 
16.5%
0 820
80.2%

rs1801394_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing32
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean0.3925327952
Minimum0
Maximum2
Zeros642
Zeros (%)62.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:25.381557image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5652430805
Coefficient of variation (CV)1.439989442
Kurtosis0.2203131877
Mean0.3925327952
Median Absolute Deviation (MAD)0
Skewness1.101743467
Sum389
Variance0.3194997401
MonotonicityNot monotonic
2024-05-04T15:22:25.576372image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 642
62.8%
1 309
30.2%
2 40
 
3.9%
(Missing) 32
 
3.1%
ValueCountFrequency (%)
0 642
62.8%
1 309
30.2%
2 40
 
3.9%
ValueCountFrequency (%)
2 40
 
3.9%
1 309
30.2%
0 642
62.8%

rs3733890_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing25
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean0.7725450902
Minimum0
Maximum2
Zeros378
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:25.720103image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6919567529
Coefficient of variation (CV)0.8956846166
Kurtosis-0.9021883928
Mean0.7725450902
Median Absolute Deviation (MAD)1
Skewness0.3351462184
Sum771
Variance0.4788041479
MonotonicityNot monotonic
2024-05-04T15:22:25.896444image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 469
45.8%
0 378
37.0%
2 151
 
14.8%
(Missing) 25
 
2.4%
ValueCountFrequency (%)
0 378
37.0%
1 469
45.8%
2 151
 
14.8%
ValueCountFrequency (%)
2 151
 
14.8%
1 469
45.8%
0 378
37.0%

rs9473555_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.3250249252
Minimum0
Maximum2
Zeros703
Zeros (%)68.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:26.063548image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5210555408
Coefficient of variation (CV)1.603124869
Kurtosis0.6599220469
Mean0.3250249252
Median Absolute Deviation (MAD)0
Skewness1.288644923
Sum326
Variance0.2714988766
MonotonicityNot monotonic
2024-05-04T15:22:26.281627image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 703
68.7%
1 274
 
26.8%
2 26
 
2.5%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 703
68.7%
1 274
 
26.8%
2 26
 
2.5%
ValueCountFrequency (%)
2 26
 
2.5%
1 274
 
26.8%
0 703
68.7%

rs1141321_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing19
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean0.3147410359
Minimum0
Maximum2
Zeros712
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:26.443112image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5135665302
Coefficient of variation (CV)1.631711381
Kurtosis0.734975175
Mean0.3147410359
Median Absolute Deviation (MAD)0
Skewness1.319499857
Sum316
Variance0.2637505809
MonotonicityNot monotonic
2024-05-04T15:22:26.598341image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 712
69.6%
1 268
 
26.2%
2 24
 
2.3%
(Missing) 19
 
1.9%
ValueCountFrequency (%)
0 712
69.6%
1 268
 
26.2%
2 24
 
2.3%
ValueCountFrequency (%)
2 24
 
2.3%
1 268
 
26.2%
0 712
69.6%

rs573904_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.4376869392
Minimum0
Maximum2
Zeros610
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:26.760411image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5815316634
Coefficient of variation (CV)1.328647513
Kurtosis-0.1020542056
Mean0.4376869392
Median Absolute Deviation (MAD)0
Skewness0.9455961002
Sum439
Variance0.3381790755
MonotonicityNot monotonic
2024-05-04T15:22:26.916858image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 610
59.6%
1 347
33.9%
2 46
 
4.5%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 610
59.6%
1 347
33.9%
2 46
 
4.5%
ValueCountFrequency (%)
2 46
 
4.5%
1 347
33.9%
0 610
59.6%

rs11254363_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing19
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean0.2131474104
Minimum0
Maximum2
Zeros799
Zeros (%)78.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:27.095294image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4310788411
Coefficient of variation (CV)2.022444657
Kurtosis1.885951032
Mean0.2131474104
Median Absolute Deviation (MAD)0
Skewness1.7346187
Sum214
Variance0.1858289673
MonotonicityNot monotonic
2024-05-04T15:22:27.249024image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 799
78.1%
1 196
 
19.2%
2 9
 
0.9%
(Missing) 19
 
1.9%
ValueCountFrequency (%)
0 799
78.1%
1 196
 
19.2%
2 9
 
0.9%
ValueCountFrequency (%)
2 9
 
0.9%
1 196
 
19.2%
0 799
78.1%

rs1801222_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing23
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean0.368
Minimum0
Maximum2
Zeros662
Zeros (%)64.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:27.394260image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5411736033
Coefficient of variation (CV)1.470580444
Kurtosis0.209041968
Mean0.368
Median Absolute Deviation (MAD)0
Skewness1.108483546
Sum368
Variance0.2928688689
MonotonicityNot monotonic
2024-05-04T15:22:27.560525image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 662
64.7%
1 308
30.1%
2 30
 
2.9%
(Missing) 23
 
2.2%
ValueCountFrequency (%)
0 662
64.7%
1 308
30.1%
2 30
 
2.9%
ValueCountFrequency (%)
2 30
 
2.9%
1 308
30.1%
0 662
64.7%

rs11041321_T
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.06181455633
Minimum0
Maximum1
Zeros941
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:27.735179image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2409385704
Coefficient of variation (CV)3.897764293
Kurtosis11.30556293
Mean0.06181455633
Median Absolute Deviation (MAD)0
Skewness3.644588231
Sum62
Variance0.05805139472
MonotonicityNot monotonic
2024-05-04T15:22:27.896343image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 941
92.0%
1 62
 
6.1%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 941
92.0%
1 62
 
6.1%
ValueCountFrequency (%)
1 62
 
6.1%
0 941
92.0%

rs202676_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing23
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean0.565
Minimum0
Maximum2
Zeros508
Zeros (%)49.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:28.034239image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6262325185
Coefficient of variation (CV)1.108376139
Kurtosis-0.5449331918
Mean0.565
Median Absolute Deviation (MAD)0
Skewness0.6476546432
Sum565
Variance0.3921671672
MonotonicityNot monotonic
2024-05-04T15:22:28.186640image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 508
49.7%
1 419
41.0%
2 73
 
7.1%
(Missing) 23
 
2.2%
ValueCountFrequency (%)
0 508
49.7%
1 419
41.0%
2 73
 
7.1%
ValueCountFrequency (%)
2 73
 
7.1%
1 419
41.0%
0 508
49.7%

rs526934_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing28
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean0.3849246231
Minimum0
Maximum2
Zeros660
Zeros (%)64.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:28.338985image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5775597989
Coefficient of variation (CV)1.500449086
Kurtosis0.4670548206
Mean0.3849246231
Median Absolute Deviation (MAD)0
Skewness1.210551792
Sum383
Variance0.3335753213
MonotonicityNot monotonic
2024-05-04T15:22:28.489798image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 660
64.5%
1 287
28.1%
2 48
 
4.7%
(Missing) 28
 
2.7%
ValueCountFrequency (%)
0 660
64.5%
1 287
28.1%
2 48
 
4.7%
ValueCountFrequency (%)
2 48
 
4.7%
1 287
28.1%
0 660
64.5%

rs2236225_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean0.7286282306
Minimum0
Maximum2
Zeros399
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:28.653194image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6698299383
Coefficient of variation (CV)0.919302753
Kurtosis-0.7998803191
Mean0.7286282306
Median Absolute Deviation (MAD)1
Skewness0.378858423
Sum733
Variance0.4486721462
MonotonicityNot monotonic
2024-05-04T15:22:28.847647image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 481
47.0%
0 399
39.0%
2 126
 
12.3%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
0 399
39.0%
1 481
47.0%
2 126
 
12.3%
ValueCountFrequency (%)
2 126
 
12.3%
1 481
47.0%
0 399
39.0%

rs1979277_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing25
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean0.4839679359
Minimum0
Maximum2
Zeros576
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:29.054708image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6102135435
Coefficient of variation (CV)1.260855313
Kurtosis-0.2477142522
Mean0.4839679359
Median Absolute Deviation (MAD)0
Skewness0.8707368378
Sum483
Variance0.3723605687
MonotonicityNot monotonic
2024-05-04T15:22:29.256435image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 576
56.3%
1 361
35.3%
2 61
 
6.0%
(Missing) 25
 
2.4%
ValueCountFrequency (%)
0 576
56.3%
1 361
35.3%
2 61
 
6.0%
ValueCountFrequency (%)
2 61
 
6.0%
1 361
35.3%
0 576
56.3%

rs492602_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.3962075848
Minimum0
Maximum2
Zeros649
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:29.448200image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5721697393
Coefficient of variation (CV)1.444116068
Kurtosis0.2557624027
Mean0.3962075848
Median Absolute Deviation (MAD)0
Skewness1.117734197
Sum397
Variance0.3273782106
MonotonicityNot monotonic
2024-05-04T15:22:29.646622image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 649
63.4%
1 309
30.2%
2 44
 
4.3%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 649
63.4%
1 309
30.2%
2 44
 
4.3%
ValueCountFrequency (%)
2 44
 
4.3%
1 309
30.2%
0 649
63.4%

rs601338_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.3958125623
Minimum0
Maximum2
Zeros648
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:29.800958image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.568520871
Coefficient of variation (CV)1.436338624
Kurtosis0.2178096029
Mean0.3958125623
Median Absolute Deviation (MAD)0
Skewness1.100574664
Sum397
Variance0.3232159808
MonotonicityNot monotonic
2024-05-04T15:22:29.983086image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 648
63.3%
1 313
30.6%
2 42
 
4.1%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 648
63.3%
1 313
30.6%
2 42
 
4.1%
ValueCountFrequency (%)
2 42
 
4.1%
1 313
30.6%
0 648
63.3%

rs602662_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.4181636727
Minimum0
Maximum2
Zeros632
Zeros (%)61.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:30.231734image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5843354971
Coefficient of variation (CV)1.397384649
Kurtosis0.1193051019
Mean0.4181636727
Median Absolute Deviation (MAD)0
Skewness1.05840072
Sum419
Variance0.3414479732
MonotonicityNot monotonic
2024-05-04T15:22:30.479245image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 632
61.8%
1 321
31.4%
2 49
 
4.8%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 632
61.8%
1 321
31.4%
2 49
 
4.8%
ValueCountFrequency (%)
2 49
 
4.8%
1 321
31.4%
0 632
61.8%

rs1569686_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.4237288136
Minimum0
Maximum2
Zeros629
Zeros (%)61.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:30.631753image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1.9
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5884070093
Coefficient of variation (CV)1.388640542
Kurtosis0.09621677394
Mean0.4237288136
Median Absolute Deviation (MAD)0
Skewness1.048981873
Sum425
Variance0.3462228086
MonotonicityNot monotonic
2024-05-04T15:22:30.799608image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 629
61.5%
1 323
31.6%
2 51
 
5.0%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 629
61.5%
1 323
31.6%
2 51
 
5.0%
ValueCountFrequency (%)
2 51
 
5.0%
1 323
31.6%
0 629
61.5%

rs2424913_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.4311377246
Minimum0
Maximum2
Zeros614
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:30.973445image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5774210664
Coefficient of variation (CV)1.339296085
Kurtosis-0.08169091555
Mean0.4311377246
Median Absolute Deviation (MAD)0
Skewness0.956826446
Sum432
Variance0.3334150879
MonotonicityNot monotonic
2024-05-04T15:22:31.157108image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 614
60.0%
1 344
33.6%
2 44
 
4.3%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 614
60.0%
1 344
33.6%
2 44
 
4.3%
ValueCountFrequency (%)
2 44
 
4.3%
1 344
33.6%
0 614
60.0%

rs8788_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing22
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean0.1608391608
Minimum0
Maximum2
Zeros848
Zeros (%)82.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:31.311575image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.388722131
Coefficient of variation (CV)2.416837597
Kurtosis4.21697403
Mean0.1608391608
Median Absolute Deviation (MAD)0
Skewness2.250482216
Sum161
Variance0.1511048951
MonotonicityNot monotonic
2024-05-04T15:22:31.471110image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 848
82.9%
1 145
 
14.2%
2 8
 
0.8%
(Missing) 22
 
2.2%
ValueCountFrequency (%)
0 848
82.9%
1 145
 
14.2%
2 8
 
0.8%
ValueCountFrequency (%)
2 8
 
0.8%
1 145
 
14.2%
0 848
82.9%

rs1051266_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.8612774451
Minimum0
Maximum2
Zeros324
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:31.621114image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6994485946
Coefficient of variation (CV)0.812106016
Kurtosis-0.9534836407
Mean0.8612774451
Median Absolute Deviation (MAD)1
Skewness0.1973959549
Sum863
Variance0.4892283365
MonotonicityNot monotonic
2024-05-04T15:22:31.782152image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 493
48.2%
0 324
31.7%
2 185
 
18.1%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 324
31.7%
1 493
48.2%
2 185
 
18.1%
ValueCountFrequency (%)
2 185
 
18.1%
1 493
48.2%
0 324
31.7%

rs1801198_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.618762475
Minimum0
Maximum2
Zeros483
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:31.943012image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6617622958
Coefficient of variation (CV)1.069493259
Kurtosis-0.6652724744
Mean0.618762475
Median Absolute Deviation (MAD)1
Skewness0.6040663724
Sum620
Variance0.4379293361
MonotonicityNot monotonic
2024-05-04T15:22:32.107945image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 483
47.2%
1 418
40.9%
2 101
 
9.9%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 483
47.2%
1 418
40.9%
2 101
 
9.9%
ValueCountFrequency (%)
2 101
 
9.9%
1 418
40.9%
0 483
47.2%

NAT
Real number (ℝ)

MISSING 

Distinct902
Distinct (%)89.7%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean0.6719168986
Minimum0.2385
Maximum0.985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:32.305313image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.2385
5-th percentile0.442675
Q10.58
median0.67085
Q30.77445
95-th percentile0.909325
Maximum0.985
Range0.7465
Interquartile range (IQR)0.19445

Descriptive statistics

Standard deviation0.1422325351
Coefficient of variation (CV)0.2116817353
Kurtosis-0.3497528832
Mean0.6719168986
Median Absolute Deviation (MAD)0.09575
Skewness-0.0717720355
Sum675.9484
Variance0.02023009404
MonotonicityNot monotonic
2024-05-04T15:22:32.533947image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5952 3
 
0.3%
0.5384 3
 
0.3%
0.911 3
 
0.3%
0.7411 3
 
0.3%
0.5916 3
 
0.3%
0.6541 3
 
0.3%
0.6797 2
 
0.2%
0.7765 2
 
0.2%
0.6855 2
 
0.2%
0.7369 2
 
0.2%
Other values (892) 980
95.8%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
0.2385 1
0.1%
0.2779 1
0.1%
0.2886 1
0.1%
0.2907 1
0.1%
0.2956 1
0.1%
ValueCountFrequency (%)
0.985 1
0.1%
0.983 1
0.1%
0.9808 1
0.1%
0.9794 1
0.1%
0.978 1
0.1%

registro
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing125
Missing (%)12.2%
Memory size8.1 KiB

hoja_datos
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing16
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean0.7815292949
Minimum0
Maximum1
Zeros220
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:32.694449image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4134138109
Coefficient of variation (CV)0.5289805687
Kurtosis-0.137916161
Mean0.7815292949
Median Absolute Deviation (MAD)0
Skewness-1.364683737
Sum787
Variance0.170910979
MonotonicityNot monotonic
2024-05-04T15:22:32.857100image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 787
76.9%
0 220
 
21.5%
(Missing) 16
 
1.6%
ValueCountFrequency (%)
0 220
 
21.5%
1 787
76.9%
ValueCountFrequency (%)
1 787
76.9%
0 220
 
21.5%

exclusion
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing16
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean0.1569016882
Minimum0
Maximum1
Zeros849
Zeros (%)83.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:32.996453image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3638887784
Coefficient of variation (CV)2.319215189
Kurtosis1.573272225
Mean0.1569016882
Median Absolute Deviation (MAD)0
Skewness1.889484452
Sum158
Variance0.132415043
MonotonicityNot monotonic
2024-05-04T15:22:33.137192image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 849
83.0%
1 158
 
15.4%
(Missing) 16
 
1.6%
ValueCountFrequency (%)
0 849
83.0%
1 158
 
15.4%
ValueCountFrequency (%)
1 158
 
15.4%
0 849
83.0%

ev_1ertrim
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing16
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean0.02979145978
Minimum0
Maximum1
Zeros977
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:33.296430image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1700960324
Coefficient of variation (CV)5.709556822
Kurtosis28.74585717
Mean0.02979145978
Median Absolute Deviation (MAD)0
Skewness5.539744483
Sum30
Variance0.02893266025
MonotonicityNot monotonic
2024-05-04T15:22:33.430306image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 977
95.5%
1 30
 
2.9%
(Missing) 16
 
1.6%
ValueCountFrequency (%)
0 977
95.5%
1 30
 
2.9%
ValueCountFrequency (%)
1 30
 
2.9%
0 977
95.5%

ev_dieta
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing16
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean0.06156901688
Minimum0
Maximum1
Zeros945
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:33.574840image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2404905543
Coefficient of variation (CV)3.906032068
Kurtosis11.36987208
Mean0.06156901688
Median Absolute Deviation (MAD)0
Skewness3.653394902
Sum62
Variance0.05783570671
MonotonicityNot monotonic
2024-05-04T15:22:33.748091image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 945
92.4%
1 62
 
6.1%
(Missing) 16
 
1.6%
ValueCountFrequency (%)
0 945
92.4%
1 62
 
6.1%
ValueCountFrequency (%)
1 62
 
6.1%
0 945
92.4%

biopsias
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing16
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean0.05163853029
Minimum0
Maximum1
Zeros955
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:33.885790image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2214061255
Coefficient of variation (CV)4.287614776
Kurtosis14.49767172
Mean0.05163853029
Median Absolute Deviation (MAD)0
Skewness4.058187012
Sum52
Variance0.04902067239
MonotonicityNot monotonic
2024-05-04T15:22:34.030205image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 955
93.4%
1 52
 
5.1%
(Missing) 16
 
1.6%
ValueCountFrequency (%)
0 955
93.4%
1 52
 
5.1%
ValueCountFrequency (%)
1 52
 
5.1%
0 955
93.4%

reiterativa
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)0.1%
Missing16
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros1007
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:34.158863image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-05-04T15:22:34.281891image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 1007
98.4%
(Missing) 16
 
1.6%
ValueCountFrequency (%)
0 1007
98.4%
ValueCountFrequency (%)
0 1007
98.4%

comentario
Text

MISSING 

Distinct107
Distinct (%)58.2%
Missing839
Missing (%)82.0%
Memory size8.1 KiB
2024-05-04T15:22:34.580300image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length61
Median length45
Mean length19.3423913
Min length1

Characters and Unicode

Total characters3559
Distinct characters59
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)45.1%

Sample

1st row.
2nd rowCTOG-pp-con-ICHOS
3rd rowbeb�-actual-macros�mico
4th rowmenor-de-edad
5th rowSOP
ValueCountFrequency (%)
ctog-postparto-intolerante 17
 
9.2%
menor-de-edad 14
 
7.6%
ctog-pp-alterada 11
 
6.0%
sop 11
 
6.0%
pb-sop 9
 
4.9%
hipotiroidismo 5
 
2.7%
falta-ctog 5
 
2.7%
beb�-actual-macros�mico 3
 
1.6%
dx-en-semana-18 3
 
1.6%
dx-en-semana-15-sdg 3
 
1.6%
Other values (93) 103
56.0%
2024-05-04T15:22:35.117448image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 431
 
12.1%
a 311
 
8.7%
e 288
 
8.1%
o 263
 
7.4%
n 182
 
5.1%
t 174
 
4.9%
r 169
 
4.7%
i 152
 
4.3%
s 145
 
4.1%
p 136
 
3.8%
Other values (49) 1308
36.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3559
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
- 431
 
12.1%
a 311
 
8.7%
e 288
 
8.1%
o 263
 
7.4%
n 182
 
5.1%
t 174
 
4.9%
r 169
 
4.7%
i 152
 
4.3%
s 145
 
4.1%
p 136
 
3.8%
Other values (49) 1308
36.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3559
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
- 431
 
12.1%
a 311
 
8.7%
e 288
 
8.1%
o 263
 
7.4%
n 182
 
5.1%
t 174
 
4.9%
r 169
 
4.7%
i 152
 
4.3%
s 145
 
4.1%
p 136
 
3.8%
Other values (49) 1308
36.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3559
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
- 431
 
12.1%
a 311
 
8.7%
e 288
 
8.1%
o 263
 
7.4%
n 182
 
5.1%
t 174
 
4.9%
r 169
 
4.7%
i 152
 
4.3%
s 145
 
4.1%
p 136
 
3.8%
Other values (49) 1308
36.8%

hospital_ref
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)0.5%
Missing16
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean2.05958292
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:35.275565image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.266020606
Coefficient of variation (CV)0.6146975654
Kurtosis-0.3521078154
Mean2.05958292
Median Absolute Deviation (MAD)1
Skewness0.9392625552
Sum2074
Variance1.602808176
MonotonicityNot monotonic
2024-05-04T15:22:35.424458image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 480
46.9%
2 226
22.1%
3 121
 
11.8%
4 121
 
11.8%
5 59
 
5.8%
(Missing) 16
 
1.6%
ValueCountFrequency (%)
1 480
46.9%
2 226
22.1%
3 121
 
11.8%
4 121
 
11.8%
5 59
 
5.8%
ValueCountFrequency (%)
5 59
 
5.8%
4 121
 
11.8%
3 121
 
11.8%
2 226
22.1%
1 480
46.9%

estado
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing35
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean0.5748987854
Minimum0
Maximum2
Zeros487
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:35.583008image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6167679672
Coefficient of variation (CV)1.072828788
Kurtosis-0.5878877299
Mean0.5748987854
Median Absolute Deviation (MAD)1
Skewness0.5829516836
Sum568
Variance0.3804027253
MonotonicityNot monotonic
2024-05-04T15:22:35.730384image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 487
47.6%
1 434
42.4%
2 67
 
6.5%
(Missing) 35
 
3.4%
ValueCountFrequency (%)
0 487
47.6%
1 434
42.4%
2 67
 
6.5%
ValueCountFrequency (%)
2 67
 
6.5%
1 434
42.4%
0 487
47.6%

edad_dx
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)3.3%
Missing33
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean31.18282828
Minimum15
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:35.901855image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile19
Q126
median32
Q337
95-th percentile41
Maximum48
Range33
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.837852483
Coefficient of variation (CV)0.2192826263
Kurtosis-0.7762184028
Mean31.18282828
Median Absolute Deviation (MAD)5
Skewness-0.2349944312
Sum30871
Variance46.75622657
MonotonicityNot monotonic
2024-05-04T15:22:36.100974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
35 56
 
5.5%
32 55
 
5.4%
33 54
 
5.3%
30 52
 
5.1%
27 52
 
5.1%
37 52
 
5.1%
39 50
 
4.9%
36 49
 
4.8%
38 48
 
4.7%
29 47
 
4.6%
Other values (23) 475
46.4%
ValueCountFrequency (%)
15 3
 
0.3%
16 3
 
0.3%
17 7
 
0.7%
18 24
2.3%
19 19
1.9%
ValueCountFrequency (%)
48 1
 
0.1%
46 2
 
0.2%
45 1
 
0.1%
44 11
1.1%
43 13
1.3%

peso_h
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)8.0%
Missing101
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean64.15444685
Minimum38
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:36.312766image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile47
Q155
median62
Q370
95-th percentile88
Maximum140
Range102
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.01938698
Coefficient of variation (CV)0.2029381846
Kurtosis2.384613305
Mean64.15444685
Median Absolute Deviation (MAD)8
Skewness1.106735675
Sum59150.4
Variance169.5044373
MonotonicityNot monotonic
2024-05-04T15:22:36.536676image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 80
 
7.8%
65 50
 
4.9%
58 42
 
4.1%
70 38
 
3.7%
50 35
 
3.4%
63 34
 
3.3%
59 29
 
2.8%
54 28
 
2.7%
55 27
 
2.6%
68 27
 
2.6%
Other values (64) 532
52.0%
(Missing) 101
 
9.9%
ValueCountFrequency (%)
38 1
 
0.1%
40 6
0.6%
41 2
 
0.2%
42 5
0.5%
43 4
0.4%
ValueCountFrequency (%)
140 1
0.1%
127 1
0.1%
118 1
0.1%
115 1
0.1%
112 1
0.1%

talla
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)5.8%
Missing52
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean1.557438723
Minimum1.25
Maximum1.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:36.724807image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.25
5-th percentile1.45
Q11.52
median1.56
Q31.6
95-th percentile1.65
Maximum1.75
Range0.5
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.06120266405
Coefficient of variation (CV)0.0392969965
Kurtosis0.5485678154
Mean1.557438723
Median Absolute Deviation (MAD)0.04
Skewness-0.130972159
Sum1512.273
Variance0.003745766087
MonotonicityNot monotonic
2024-05-04T15:22:36.922770image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.55 72
 
7.0%
1.56 70
 
6.8%
1.6 64
 
6.3%
1.54 63
 
6.2%
1.52 63
 
6.2%
1.58 62
 
6.1%
1.5 53
 
5.2%
1.57 51
 
5.0%
1.53 49
 
4.8%
1.62 45
 
4.4%
Other values (46) 379
37.0%
(Missing) 52
 
5.1%
ValueCountFrequency (%)
1.25 1
0.1%
1.34 1
0.1%
1.37 1
0.1%
1.39 1
0.1%
1.4 1
0.1%
ValueCountFrequency (%)
1.75 1
 
0.1%
1.74 2
0.2%
1.72 2
0.2%
1.71 2
0.2%
1.7 4
0.4%

imc_h
Real number (ℝ)

MISSING 

Distinct527
Distinct (%)57.7%
Missing110
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean26.47993428
Minimum16.8
Maximum60.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:37.115953image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum16.8
5-th percentile19.66
Q122.94
median25.63
Q329.09
95-th percentile36.25
Maximum60.6
Range43.8
Interquartile range (IQR)6.15

Descriptive statistics

Standard deviation5.176623611
Coefficient of variation (CV)0.1954923134
Kurtosis2.957881691
Mean26.47993428
Median Absolute Deviation (MAD)3.03
Skewness1.181286375
Sum24176.18
Variance26.79743201
MonotonicityNot monotonic
2024-05-04T15:22:37.318849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.44 9
 
0.9%
23.81 9
 
0.9%
24.65 8
 
0.8%
25.39 8
 
0.8%
29.14 7
 
0.7%
26.22 7
 
0.7%
26.67 7
 
0.7%
24.46 7
 
0.7%
23.53 7
 
0.7%
24.77 7
 
0.7%
Other values (517) 837
81.8%
(Missing) 110
 
10.8%
ValueCountFrequency (%)
16.8 1
0.1%
17.15 2
0.2%
17.26 1
0.1%
17.36 1
0.1%
17.54 1
0.1%
ValueCountFrequency (%)
60.6 1
0.1%
49.61 1
0.1%
47.87 1
0.1%
45.94 1
0.1%
45.49 1
0.1%

obs_h
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing53
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean0.2020618557
Minimum0
Maximum1
Zeros774
Zeros (%)75.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:37.474197image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.401745259
Coefficient of variation (CV)1.988229088
Kurtosis0.2094669319
Mean0.2020618557
Median Absolute Deviation (MAD)0
Skewness1.48628372
Sum196
Variance0.1613992531
MonotonicityNot monotonic
2024-05-04T15:22:37.614473image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 774
75.7%
1 196
 
19.2%
(Missing) 53
 
5.2%
ValueCountFrequency (%)
0 774
75.7%
1 196
 
19.2%
ValueCountFrequency (%)
1 196
 
19.2%
0 774
75.7%

peso_1
Real number (ℝ)

MISSING 

Distinct151
Distinct (%)38.6%
Missing632
Missing (%)61.8%
Infinite0
Infinite (%)0.0%
Mean64.56649616
Minimum38
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:37.810772image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile48
Q156
median63
Q371.75
95-th percentile86.5
Maximum113
Range75
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation11.97995667
Coefficient of variation (CV)0.1855444756
Kurtosis1.33105436
Mean64.56649616
Median Absolute Deviation (MAD)7.1
Skewness0.854765964
Sum25245.5
Variance143.5193618
MonotonicityNot monotonic
2024-05-04T15:22:38.423852image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 19
 
1.9%
65 15
 
1.5%
72 14
 
1.4%
58 13
 
1.3%
52 10
 
1.0%
56 10
 
1.0%
64 9
 
0.9%
55 8
 
0.8%
63 8
 
0.8%
62 8
 
0.8%
Other values (141) 277
27.1%
(Missing) 632
61.8%
ValueCountFrequency (%)
38 1
0.1%
40 1
0.1%
41 1
0.1%
41.2 1
0.1%
42 1
0.1%
ValueCountFrequency (%)
113 1
0.1%
108 2
0.2%
105 1
0.1%
101 1
0.1%
97.2 1
0.1%

peso_2
Real number (ℝ)

MISSING 

Distinct201
Distinct (%)33.5%
Missing423
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean69.18616667
Minimum42.5
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:38.625231image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum42.5
5-th percentile52.95
Q161
median67.55
Q375.425
95-th percentile92
Maximum126
Range83.5
Interquartile range (IQR)14.425

Descriptive statistics

Standard deviation12.51848151
Coefficient of variation (CV)0.1809390824
Kurtosis1.88761873
Mean69.18616667
Median Absolute Deviation (MAD)7.15
Skewness1.02169603
Sum41511.7
Variance156.7123793
MonotonicityNot monotonic
2024-05-04T15:22:38.835292image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 19
 
1.9%
64 15
 
1.5%
65 15
 
1.5%
62 14
 
1.4%
69 14
 
1.4%
73 13
 
1.3%
78 12
 
1.2%
61 12
 
1.2%
54 11
 
1.1%
68 10
 
1.0%
Other values (191) 465
45.5%
(Missing) 423
41.3%
ValueCountFrequency (%)
42.5 1
 
0.1%
45 2
0.2%
47 2
0.2%
47.2 1
 
0.1%
48 4
0.4%
ValueCountFrequency (%)
126 1
0.1%
120 1
0.1%
117 1
0.1%
116.2 1
0.1%
114.7 1
0.1%

peso_3
Real number (ℝ)

MISSING 

Distinct176
Distinct (%)44.7%
Missing629
Missing (%)61.5%
Infinite0
Infinite (%)0.0%
Mean72.32538071
Minimum45
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:39.027036image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile55.13
Q164
median71.4
Q379
95-th percentile92.35
Maximum114
Range69
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.42233273
Coefficient of variation (CV)0.1579297975
Kurtosis0.5251969839
Mean72.32538071
Median Absolute Deviation (MAD)7.4
Skewness0.5701919609
Sum28496.2
Variance130.469685
MonotonicityNot monotonic
2024-05-04T15:22:39.226581image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78 14
 
1.4%
72 12
 
1.2%
64 12
 
1.2%
80 10
 
1.0%
71 10
 
1.0%
77 9
 
0.9%
75 9
 
0.9%
65 9
 
0.9%
63 8
 
0.8%
74 8
 
0.8%
Other values (166) 293
28.6%
(Missing) 629
61.5%
ValueCountFrequency (%)
45 1
0.1%
48 1
0.1%
49 1
0.1%
50 2
0.2%
52 2
0.2%
ValueCountFrequency (%)
114 1
0.1%
108.5 1
0.1%
108 2
0.2%
104.4 1
0.1%
102.5 1
0.1%

ganancia_peso
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)28.8%
Missing659
Missing (%)64.4%
Infinite0
Infinite (%)0.0%
Mean10.53975275
Minimum0
Maximum112
Zeros5
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:39.434948image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.575
Q16.7
median10
Q313.225
95-th percentile18
Maximum112
Range112
Interquartile range (IQR)6.525

Descriptive statistics

Standard deviation7.215654026
Coefficient of variation (CV)0.6846132162
Kurtosis107.0338923
Mean10.53975275
Median Absolute Deviation (MAD)3.3
Skewness7.71358468
Sum3836.47
Variance52.06566302
MonotonicityNot monotonic
2024-05-04T15:22:39.633479image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 25
 
2.4%
13 21
 
2.1%
8 21
 
2.1%
6 17
 
1.7%
9 16
 
1.6%
4 13
 
1.3%
12 13
 
1.3%
16 11
 
1.1%
11 10
 
1.0%
14 10
 
1.0%
Other values (95) 207
 
20.2%
(Missing) 659
64.4%
ValueCountFrequency (%)
0 5
0.5%
1 2
 
0.2%
1.2 1
 
0.1%
1.5 1
 
0.1%
2 6
0.6%
ValueCountFrequency (%)
112 1
 
0.1%
26 1
 
0.1%
25.8 1
 
0.1%
22 1
 
0.1%
21 3
0.3%

pas
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)3.6%
Missing275
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean109.0935829
Minimum80
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:39.812965image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile90
Q1100
median110
Q3120
95-th percentile130
Maximum160
Range80
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.7575604
Coefficient of variation (CV)0.1077749954
Kurtosis1.84884743
Mean109.0935829
Median Absolute Deviation (MAD)10
Skewness0.6898996018
Sum81602
Variance138.2402265
MonotonicityNot monotonic
2024-05-04T15:22:39.985396image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
110 276
27.0%
100 187
18.3%
120 134
13.1%
90 69
 
6.7%
130 29
 
2.8%
140 9
 
0.9%
115 9
 
0.9%
150 5
 
0.5%
80 5
 
0.5%
105 4
 
0.4%
Other values (17) 21
 
2.1%
(Missing) 275
26.9%
ValueCountFrequency (%)
80 5
 
0.5%
90 69
 
6.7%
100 187
18.3%
103 1
 
0.1%
104 1
 
0.1%
ValueCountFrequency (%)
160 3
 
0.3%
154 1
 
0.1%
150 5
0.5%
140 9
0.9%
134 1
 
0.1%

pad
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)3.1%
Missing275
Missing (%)26.9%
Infinite0
Infinite (%)0.0%
Mean69.9197861
Minimum40
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:40.154974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile60
Q160
median70
Q375.25
95-th percentile80.65
Maximum100
Range60
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation8.935376135
Coefficient of variation (CV)0.1277946721
Kurtosis0.6261031816
Mean69.9197861
Median Absolute Deviation (MAD)10
Skewness0.5242840715
Sum52300
Variance79.84094667
MonotonicityNot monotonic
2024-05-04T15:22:40.315103image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
70 323
31.6%
60 210
20.5%
80 143
14.0%
90 22
 
2.2%
50 10
 
1.0%
100 8
 
0.8%
75 6
 
0.6%
65 4
 
0.4%
85 3
 
0.3%
81 2
 
0.2%
Other values (13) 17
 
1.7%
(Missing) 275
26.9%
ValueCountFrequency (%)
40 1
 
0.1%
50 10
 
1.0%
55 1
 
0.1%
57 1
 
0.1%
60 210
20.5%
ValueCountFrequency (%)
100 8
 
0.8%
96 1
 
0.1%
94 1
 
0.1%
90 22
2.2%
87 1
 
0.1%

tipo_dx
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)0.3%
Missing34
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean1.132457027
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:40.462518image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4821175976
Coefficient of variation (CV)0.4257270572
Kurtosis10.45410648
Mean1.132457027
Median Absolute Deviation (MAD)0
Skewness3.488404961
Sum1120
Variance0.232437378
MonotonicityNot monotonic
2024-05-04T15:22:40.602581image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 916
89.5%
3 58
 
5.7%
2 15
 
1.5%
(Missing) 34
 
3.3%
ValueCountFrequency (%)
1 916
89.5%
2 15
 
1.5%
3 58
 
5.7%
ValueCountFrequency (%)
3 58
 
5.7%
2 15
 
1.5%
1 916
89.5%

sdg_dx
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)0.6%
Missing143
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean1.116477273
Minimum0
Maximum16.5
Zeros192
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:40.743587image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile2
Maximum16.5
Range16.5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8932250878
Coefficient of variation (CV)0.8000387555
Kurtosis98.6286085
Mean1.116477273
Median Absolute Deviation (MAD)1
Skewness5.712633134
Sum982.5
Variance0.7978510575
MonotonicityNot monotonic
2024-05-04T15:22:40.883551image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 409
40.0%
2 277
27.1%
0 192
18.8%
16.5 1
 
0.1%
3 1
 
0.1%
(Missing) 143
 
14.0%
ValueCountFrequency (%)
0 192
18.8%
1 409
40.0%
2 277
27.1%
3 1
 
0.1%
16.5 1
 
0.1%
ValueCountFrequency (%)
16.5 1
 
0.1%
3 1
 
0.1%
2 277
27.1%
1 409
40.0%
0 192
18.8%

sdg_dx_num
Real number (ℝ)

MISSING 

Distinct282
Distinct (%)32.0%
Missing143
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean26.37309091
Minimum7.42
Maximum38.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:41.061267image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum7.42
5-th percentile17.273
Q124
median26.57
Q329.57
95-th percentile34
Maximum38.28
Range30.86
Interquartile range (IQR)5.57

Descriptive statistics

Standard deviation4.915890626
Coefficient of variation (CV)0.1863979707
Kurtosis0.4532464609
Mean26.37309091
Median Absolute Deviation (MAD)2.725
Skewness-0.4575004538
Sum23208.32
Variance24.16598065
MonotonicityNot monotonic
2024-05-04T15:22:41.259252image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 38
 
3.7%
26 38
 
3.7%
28 36
 
3.5%
27 26
 
2.5%
25 26
 
2.5%
30 23
 
2.2%
29 17
 
1.7%
22 15
 
1.5%
31 12
 
1.2%
32 11
 
1.1%
Other values (272) 638
62.4%
(Missing) 143
 
14.0%
ValueCountFrequency (%)
7.42 1
0.1%
9.57 1
0.1%
9.71 1
0.1%
9.85 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
38.28 1
0.1%
37.28 1
0.1%
37 2
0.2%
36.42 1
0.1%
36.2 1
0.1%

gluc_dx_0
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)8.0%
Missing35
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean87.51072874
Minimum61
Maximum239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:41.453323image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile71
Q178
median86
Q394
95-th percentile109.65
Maximum239
Range178
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.95625407
Coefficient of variation (CV)0.1594804919
Kurtosis19.35545558
Mean87.51072874
Median Absolute Deviation (MAD)8
Skewness2.744754754
Sum86460.6
Variance194.7770276
MonotonicityNot monotonic
2024-05-04T15:22:41.664097image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 41
 
4.0%
81 40
 
3.9%
85 38
 
3.7%
84 36
 
3.5%
77 35
 
3.4%
87 35
 
3.4%
86 34
 
3.3%
80 34
 
3.3%
79 34
 
3.3%
78 34
 
3.3%
Other values (69) 627
61.3%
(Missing) 35
 
3.4%
ValueCountFrequency (%)
61 1
 
0.1%
62 1
 
0.1%
64 1
 
0.1%
65 1
 
0.1%
66 3
0.3%
ValueCountFrequency (%)
239 1
0.1%
182 1
0.1%
176 1
0.1%
167 1
0.1%
162 1
0.1%

gluc_dx_60
Real number (ℝ)

MISSING 

Distinct203
Distinct (%)20.6%
Missing36
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean158.9975684
Minimum43
Maximum330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:41.863359image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile91.3
Q1124
median159
Q3190
95-th percentile230.7
Maximum330
Range287
Interquartile range (IQR)66

Descriptive statistics

Standard deviation43.83266857
Coefficient of variation (CV)0.2756813768
Kurtosis-0.2087760713
Mean158.9975684
Median Absolute Deviation (MAD)33
Skewness0.218587143
Sum156930.6
Variance1921.302834
MonotonicityNot monotonic
2024-05-04T15:22:42.068325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180 15
 
1.5%
121 14
 
1.4%
181 14
 
1.4%
199 13
 
1.3%
122 13
 
1.3%
190 13
 
1.3%
143 12
 
1.2%
187 12
 
1.2%
111 11
 
1.1%
145 11
 
1.1%
Other values (193) 859
84.0%
(Missing) 36
 
3.5%
ValueCountFrequency (%)
43 1
0.1%
45 1
0.1%
53 1
0.1%
57 1
0.1%
61 1
0.1%
ValueCountFrequency (%)
330 1
0.1%
304 1
0.1%
289 1
0.1%
285 1
0.1%
280 1
0.1%

gluc_dx_120
Real number (ℝ)

MISSING 

Distinct184
Distinct (%)18.6%
Missing35
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean141.534919
Minimum61
Maximum324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:42.276256image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile87
Q1110
median135
Q3170
95-th percentile209.65
Maximum324
Range263
Interquartile range (IQR)60

Descriptive statistics

Standard deviation40.21682628
Coefficient of variation (CV)0.2841477323
Kurtosis0.4143301671
Mean141.534919
Median Absolute Deviation (MAD)30
Skewness0.6171509834
Sum139836.5
Variance1617.393116
MonotonicityNot monotonic
2024-05-04T15:22:42.489285image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114 17
 
1.7%
113 15
 
1.5%
107 15
 
1.5%
100 15
 
1.5%
120 14
 
1.4%
110 14
 
1.4%
159 14
 
1.4%
111 14
 
1.4%
112 14
 
1.4%
166 13
 
1.3%
Other values (174) 843
82.4%
(Missing) 35
 
3.4%
ValueCountFrequency (%)
61 1
0.1%
63 2
0.2%
66 2
0.2%
68 1
0.1%
69 1
0.1%
ValueCountFrequency (%)
324 1
0.1%
322 1
0.1%
291 1
0.1%
284 1
0.1%
271 1
0.1%

gluc_dx_180
Real number (ℝ)

MISSING 

Distinct154
Distinct (%)16.8%
Missing107
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean120.4126638
Minimum35
Maximum400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:42.692523image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile74
Q198
median117
Q3142
95-th percentile175.25
Maximum400
Range365
Interquartile range (IQR)44

Descriptive statistics

Standard deviation33.02440285
Coefficient of variation (CV)0.2742602134
Kurtosis6.008377631
Mean120.4126638
Median Absolute Deviation (MAD)22
Skewness1.174783404
Sum110298
Variance1090.611184
MonotonicityNot monotonic
2024-05-04T15:22:42.903632image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 21
 
2.1%
106 18
 
1.8%
142 17
 
1.7%
112 17
 
1.7%
144 16
 
1.6%
107 16
 
1.6%
105 15
 
1.5%
98 15
 
1.5%
104 15
 
1.5%
130 14
 
1.4%
Other values (144) 752
73.5%
(Missing) 107
 
10.5%
ValueCountFrequency (%)
35 1
0.1%
44 1
0.1%
48 1
0.1%
51 1
0.1%
53 2
0.2%
ValueCountFrequency (%)
400 1
0.1%
285 1
0.1%
243 1
0.1%
232 1
0.1%
223 2
0.2%

dx_inicio
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)0.5%
Missing36
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean0.7922998987
Minimum0
Maximum4
Zeros487
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:43.076204image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.06978675
Coefficient of variation (CV)1.350229568
Kurtosis2.705526708
Mean0.7922998987
Median Absolute Deviation (MAD)1
Skewness1.740616913
Sum782
Variance1.144443691
MonotonicityNot monotonic
2024-05-04T15:22:43.236943image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 487
47.6%
1 355
34.7%
2 72
 
7.0%
4 64
 
6.3%
3 9
 
0.9%
(Missing) 36
 
3.5%
ValueCountFrequency (%)
0 487
47.6%
1 355
34.7%
2 72
 
7.0%
3 9
 
0.9%
4 64
 
6.3%
ValueCountFrequency (%)
4 64
 
6.3%
3 9
 
0.9%
2 72
 
7.0%
1 355
34.7%
0 487
47.6%

auc
Real number (ℝ)

MISSING 

Distinct541
Distinct (%)54.8%
Missing36
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean23714.27964
Minimum6240
Maximum50790
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:43.459826image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6240
5-th percentile13929
Q119185
median23490
Q328140
95-th percentile33081
Maximum50790
Range44550
Interquartile range (IQR)8955

Descriptive statistics

Standard deviation6176.802852
Coefficient of variation (CV)0.2604676569
Kurtosis0.4552029541
Mean23714.27964
Median Absolute Deviation (MAD)4500
Skewness0.2360342636
Sum23405994
Variance38152893.47
MonotonicityNot monotonic
2024-05-04T15:22:43.663056image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27390 9
 
0.9%
19230 7
 
0.7%
29160 6
 
0.6%
21240 5
 
0.5%
21000 5
 
0.5%
19560 5
 
0.5%
18540 5
 
0.5%
18600 5
 
0.5%
18900 5
 
0.5%
27930 5
 
0.5%
Other values (531) 930
90.9%
(Missing) 36
 
3.5%
ValueCountFrequency (%)
6240 1
0.1%
7410 1
0.1%
8280 1
0.1%
9030 1
0.1%
9150 1
0.1%
ValueCountFrequency (%)
50790 1
0.1%
49530 1
0.1%
47190 1
0.1%
43500 1
0.1%
42840 1
0.1%

sdg_pp
Real number (ℝ)

MISSING 

Distinct105
Distinct (%)25.1%
Missing605
Missing (%)59.1%
Infinite0
Infinite (%)0.0%
Mean49.83318182
Minimum4.43
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:43.847534image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.43
5-th percentile6.2675
Q17.7475
median19.215
Q399
95-th percentile99
Maximum99
Range94.57
Interquartile range (IQR)91.2525

Descriptive statistics

Standard deviation44.03021117
Coefficient of variation (CV)0.8835520744
Kurtosis-1.927399317
Mean49.83318182
Median Absolute Deviation (MAD)13.215
Skewness0.1870960698
Sum20830.27
Variance1938.659496
MonotonicityNot monotonic
2024-05-04T15:22:44.052782image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99 181
 
17.7%
7.29 10
 
1.0%
7.71 9
 
0.9%
7.14 9
 
0.9%
9.71 9
 
0.9%
6.43 8
 
0.8%
7.57 7
 
0.7%
6.29 7
 
0.7%
6.71 7
 
0.7%
8.29 7
 
0.7%
Other values (95) 164
 
16.0%
(Missing) 605
59.1%
ValueCountFrequency (%)
4.43 1
0.1%
4.57 2
0.2%
4.86 1
0.1%
5 2
0.2%
5.29 1
0.1%
ValueCountFrequency (%)
99 181
17.7%
97.43 1
 
0.1%
91.14 1
 
0.1%
62.71 1
 
0.1%
61 1
 
0.1%

gluc_pp_0
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)18.2%
Missing606
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean99.02374101
Minimum67
Maximum309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:44.244849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile80
Q189
median96
Q3104.8
95-th percentile124.4
Maximum309
Range242
Interquartile range (IQR)15.8

Descriptive statistics

Standard deviation20.03524508
Coefficient of variation (CV)0.2023276931
Kurtosis46.87339801
Mean99.02374101
Median Absolute Deviation (MAD)8
Skewness5.268179328
Sum41292.9
Variance401.4110456
MonotonicityNot monotonic
2024-05-04T15:22:44.450645image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93 18
 
1.8%
95 17
 
1.7%
92 17
 
1.7%
94 14
 
1.4%
96 14
 
1.4%
100 14
 
1.4%
97 14
 
1.4%
84 14
 
1.4%
101 13
 
1.3%
88 13
 
1.3%
Other values (66) 269
26.3%
(Missing) 606
59.2%
ValueCountFrequency (%)
67 1
0.1%
69 1
0.1%
70 1
0.1%
73 2
0.2%
73.9 1
0.1%
ValueCountFrequency (%)
309 1
0.1%
285 1
0.1%
184 1
0.1%
176 1
0.1%
165 1
0.1%

gluc_pp_60
Real number (ℝ)

MISSING 

Distinct115
Distinct (%)75.2%
Missing870
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean161.9215686
Minimum65
Maximum503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:44.633968image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum65
5-th percentile94.6
Q1120
median148
Q3190
95-th percentile270.2
Maximum503
Range438
Interquartile range (IQR)70

Descriptive statistics

Standard deviation64.06632351
Coefficient of variation (CV)0.3956626906
Kurtosis6.124499003
Mean161.9215686
Median Absolute Deviation (MAD)32
Skewness1.97363596
Sum24774
Variance4104.493808
MonotonicityNot monotonic
2024-05-04T15:22:44.838316image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
158 3
 
0.3%
148 3
 
0.3%
153 3
 
0.3%
109 3
 
0.3%
130 3
 
0.3%
108 3
 
0.3%
128 3
 
0.3%
124 3
 
0.3%
91 2
 
0.2%
152 2
 
0.2%
Other values (105) 125
 
12.2%
(Missing) 870
85.0%
ValueCountFrequency (%)
65 1
0.1%
68 1
0.1%
73 1
0.1%
83 1
0.1%
87 1
0.1%
ValueCountFrequency (%)
503 1
0.1%
379 1
0.1%
371 1
0.1%
354 1
0.1%
344 1
0.1%

gluc_pp_120
Real number (ℝ)

MISSING 

Distinct134
Distinct (%)32.2%
Missing607
Missing (%)59.3%
Infinite0
Infinite (%)0.0%
Mean123.0754808
Minimum52
Maximum562
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:45.025909image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile78
Q199.875
median116
Q3135
95-th percentile181.25
Maximum562
Range510
Interquartile range (IQR)35.125

Descriptive statistics

Standard deviation45.21647237
Coefficient of variation (CV)0.3673881433
Kurtosis30.5542007
Mean123.0754808
Median Absolute Deviation (MAD)18
Skewness4.273015447
Sum51199.4
Variance2044.529373
MonotonicityNot monotonic
2024-05-04T15:22:45.211306image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125 10
 
1.0%
110 10
 
1.0%
96 9
 
0.9%
121 9
 
0.9%
114 9
 
0.9%
116 9
 
0.9%
115 8
 
0.8%
124 8
 
0.8%
128 8
 
0.8%
112 8
 
0.8%
Other values (124) 328
32.1%
(Missing) 607
59.3%
ValueCountFrequency (%)
52 1
0.1%
54 1
0.1%
61 1
0.1%
63 2
0.2%
66 2
0.2%
ValueCountFrequency (%)
562 1
0.1%
421 1
0.1%
392 1
0.1%
363 1
0.1%
331 1
0.1%

gluc_pp_180
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)51.3%
Missing869
Missing (%)84.9%
Infinite0
Infinite (%)0.0%
Mean113.8701299
Minimum0
Maximum575
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:45.408459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile70.65
Q188
median104
Q3120
95-th percentile179.9
Maximum575
Range575
Interquartile range (IQR)32

Descriptive statistics

Standard deviation61.09413088
Coefficient of variation (CV)0.5365246439
Kurtosis27.23986633
Mean113.8701299
Median Absolute Deviation (MAD)16
Skewness4.596389407
Sum17536
Variance3732.492827
MonotonicityNot monotonic
2024-05-04T15:22:45.614495image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 8
 
0.8%
108 6
 
0.6%
83 5
 
0.5%
106 5
 
0.5%
93 5
 
0.5%
95 4
 
0.4%
104 4
 
0.4%
94 4
 
0.4%
103 4
 
0.4%
112 4
 
0.4%
Other values (69) 105
 
10.3%
(Missing) 869
84.9%
ValueCountFrequency (%)
0 1
0.1%
54 2
0.2%
58 1
0.1%
67 1
0.1%
68 1
0.1%
ValueCountFrequency (%)
575 1
0.1%
409 1
0.1%
394 1
0.1%
328 1
0.1%
253 1
0.1%

dx_pp
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)1.2%
Missing605
Missing (%)59.1%
Infinite0
Infinite (%)0.0%
Mean0.8923444976
Minimum0
Maximum4
Zeros229
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:45.789686image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.237072725
Coefficient of variation (CV)1.386317424
Kurtosis0.3765275907
Mean0.8923444976
Median Absolute Deviation (MAD)0
Skewness1.267233743
Sum373
Variance1.530348927
MonotonicityNot monotonic
2024-05-04T15:22:45.945390image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 229
 
22.4%
1 96
 
9.4%
3 43
 
4.2%
2 26
 
2.5%
4 24
 
2.3%
(Missing) 605
59.1%
ValueCountFrequency (%)
0 229
22.4%
1 96
9.4%
2 26
 
2.5%
3 43
 
4.2%
4 24
 
2.3%
ValueCountFrequency (%)
4 24
 
2.3%
3 43
 
4.2%
2 26
 
2.5%
1 96
9.4%
0 229
22.4%

ichos_pregesta
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing207
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean0.02083333333
Minimum0
Maximum1
Zeros799
Zeros (%)78.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:46.114335image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.142913734
Coefficient of variation (CV)6.859859234
Kurtosis43.29344426
Mean0.02083333333
Median Absolute Deviation (MAD)0
Skewness6.722152823
Sum17
Variance0.02042433538
MonotonicityNot monotonic
2024-05-04T15:22:46.727604image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 799
78.1%
1 17
 
1.7%
(Missing) 207
 
20.2%
ValueCountFrequency (%)
0 799
78.1%
1 17
 
1.7%
ValueCountFrequency (%)
1 17
 
1.7%
0 799
78.1%

hta_pregesta
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing82
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean0.1519659936
Minimum0
Maximum1
Zeros798
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:46.868375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3591788254
Coefficient of variation (CV)2.363547376
Kurtosis1.775406594
Mean0.1519659936
Median Absolute Deviation (MAD)0
Skewness1.942070457
Sum143
Variance0.1290094286
MonotonicityNot monotonic
2024-05-04T15:22:47.021324image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 798
78.0%
1 143
 
14.0%
(Missing) 82
 
8.0%
ValueCountFrequency (%)
0 798
78.0%
1 143
 
14.0%
ValueCountFrequency (%)
1 143
 
14.0%
0 798
78.0%

sop
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing207
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean0.01715686275
Minimum0
Maximum1
Zeros802
Zeros (%)78.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:47.161465image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1299353493
Coefficient of variation (CV)7.573374644
Kurtosis53.6386192
Mean0.01715686275
Median Absolute Deviation (MAD)0
Skewness7.450312585
Sum14
Variance0.016883195
MonotonicityNot monotonic
2024-05-04T15:22:47.301853image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 802
78.4%
1 14
 
1.4%
(Missing) 207
 
20.2%
ValueCountFrequency (%)
0 802
78.4%
1 14
 
1.4%
ValueCountFrequency (%)
1 14
 
1.4%
0 802
78.4%

hipotiroidismo
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing206
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean0.01346389229
Minimum0
Maximum1
Zeros806
Zeros (%)78.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:47.432368image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.115320829
Coefficient of variation (CV)8.565192484
Kurtosis69.71966027
Mean0.01346389229
Median Absolute Deviation (MAD)0
Skewness8.458663807
Sum11
Variance0.01329889361
MonotonicityNot monotonic
2024-05-04T15:22:47.571895image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 806
78.8%
1 11
 
1.1%
(Missing) 206
 
20.1%
ValueCountFrequency (%)
0 806
78.8%
1 11
 
1.1%
ValueCountFrequency (%)
1 11
 
1.1%
0 806
78.8%

hipertiroidismo
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing206
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean0.004895960832
Minimum0
Maximum1
Zeros813
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:47.705430image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06984240099
Coefficient of variation (CV)14.2653104
Kurtosis200.4871257
Mean0.004895960832
Median Absolute Deviation (MAD)0
Skewness14.2125417
Sum4
Variance0.004877960976
MonotonicityNot monotonic
2024-05-04T15:22:47.842308image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 813
79.5%
1 4
 
0.4%
(Missing) 206
 
20.1%
ValueCountFrequency (%)
0 813
79.5%
1 4
 
0.4%
ValueCountFrequency (%)
1 4
 
0.4%
0 813
79.5%

consumo_alcohol
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.4%
Missing544
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean0.2379958246
Minimum0
Maximum1
Zeros365
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:47.972228image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4263017867
Coefficient of variation (CV)1.791215402
Kurtosis-0.4783959681
Mean0.2379958246
Median Absolute Deviation (MAD)0
Skewness1.234349625
Sum114
Variance0.1817332134
MonotonicityNot monotonic
2024-05-04T15:22:48.115819image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 365
35.7%
1 114
 
11.1%
(Missing) 544
53.2%
ValueCountFrequency (%)
0 365
35.7%
1 114
 
11.1%
ValueCountFrequency (%)
1 114
 
11.1%
0 365
35.7%

consumo_tabaco
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.4%
Missing543
Missing (%)53.1%
Infinite0
Infinite (%)0.0%
Mean0.2666666667
Minimum0
Maximum1
Zeros352
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:48.248526image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4426780021
Coefficient of variation (CV)1.660042508
Kurtosis-0.8830613907
Mean0.2666666667
Median Absolute Deviation (MAD)0
Skewness1.058600709
Sum128
Variance0.1959638135
MonotonicityNot monotonic
2024-05-04T15:22:48.405343image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 352
34.4%
1 128
 
12.5%
(Missing) 543
53.1%
ValueCountFrequency (%)
0 352
34.4%
1 128
 
12.5%
ValueCountFrequency (%)
1 128
 
12.5%
0 352
34.4%

anticonceptivo
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.6%
Missing554
Missing (%)54.2%
Infinite0
Infinite (%)0.0%
Mean0.7228144989
Minimum0
Maximum2
Zeros218
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:48.558169image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.759506538
Coefficient of variation (CV)1.050762733
Kurtosis-1.103043738
Mean0.7228144989
Median Absolute Deviation (MAD)1
Skewness0.5117393486
Sum339
Variance0.5768501813
MonotonicityNot monotonic
2024-05-04T15:22:48.726174image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 218
 
21.3%
1 163
 
15.9%
2 88
 
8.6%
(Missing) 554
54.2%
ValueCountFrequency (%)
0 218
21.3%
1 163
15.9%
2 88
8.6%
ValueCountFrequency (%)
2 88
8.6%
1 163
15.9%
0 218
21.3%

ah_dm
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing64
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean0.7309697602
Minimum0
Maximum1
Zeros258
Zeros (%)25.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:48.885019image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4436871019
Coefficient of variation (CV)0.6069842093
Kurtosis-0.9134054209
Mean0.7309697602
Median Absolute Deviation (MAD)0
Skewness-1.043313879
Sum701
Variance0.1968582444
MonotonicityNot monotonic
2024-05-04T15:22:49.039514image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 701
68.5%
0 258
 
25.2%
(Missing) 64
 
6.3%
ValueCountFrequency (%)
0 258
 
25.2%
1 701
68.5%
ValueCountFrequency (%)
1 701
68.5%
0 258
 
25.2%

ah_hta
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing65
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean0.4947807933
Minimum0
Maximum1
Zeros484
Zeros (%)47.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:49.184635image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5002339097
Coefficient of variation (CV)1.011021277
Kurtosis-2.003750309
Mean0.4947807933
Median Absolute Deviation (MAD)0
Skewness0.02091071965
Sum474
Variance0.2502339644
MonotonicityNot monotonic
2024-05-04T15:22:49.326309image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 484
47.3%
1 474
46.3%
(Missing) 65
 
6.4%
ValueCountFrequency (%)
0 484
47.3%
1 474
46.3%
ValueCountFrequency (%)
1 474
46.3%
0 484
47.3%

ah_ob
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing64
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean0.1053180396
Minimum0
Maximum1
Zeros858
Zeros (%)83.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:49.456663image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3071229514
Coefficient of variation (CV)2.916147628
Kurtosis4.643188298
Mean0.1053180396
Median Absolute Deviation (MAD)0
Skewness2.575559985
Sum101
Variance0.0943245073
MonotonicityNot monotonic
2024-05-04T15:22:49.599606image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 858
83.9%
1 101
 
9.9%
(Missing) 64
 
6.3%
ValueCountFrequency (%)
0 858
83.9%
1 101
 
9.9%
ValueCountFrequency (%)
1 101
 
9.9%
0 858
83.9%

ah_dg
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing65
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean0.02400835073
Minimum0
Maximum1
Zeros935
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:49.733360image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1531549367
Coefficient of variation (CV)6.379236057
Kurtosis36.87520764
Mean0.02400835073
Median Absolute Deviation (MAD)0
Skewness6.228822369
Sum23
Variance0.02345643462
MonotonicityNot monotonic
2024-05-04T15:22:49.897232image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 935
91.4%
1 23
 
2.2%
(Missing) 65
 
6.4%
ValueCountFrequency (%)
0 935
91.4%
1 23
 
2.2%
ValueCountFrequency (%)
1 23
 
2.2%
0 935
91.4%

no_gestas
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)0.9%
Missing52
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean2.515962925
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:50.053063image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum11
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.401215442
Coefficient of variation (CV)0.5569300838
Kurtosis1.781689224
Mean2.515962925
Median Absolute Deviation (MAD)1
Skewness1.083565453
Sum2443
Variance1.963404716
MonotonicityNot monotonic
2024-05-04T15:22:50.190282image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 272
26.6%
2 267
26.1%
3 227
22.2%
4 120
11.7%
5 54
 
5.3%
6 16
 
1.6%
7 13
 
1.3%
11 1
 
0.1%
8 1
 
0.1%
(Missing) 52
 
5.1%
ValueCountFrequency (%)
1 272
26.6%
2 267
26.1%
3 227
22.2%
4 120
11.7%
5 54
 
5.3%
ValueCountFrequency (%)
11 1
 
0.1%
8 1
 
0.1%
7 13
 
1.3%
6 16
 
1.6%
5 54
5.3%

ant_dg
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing200
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean0.03523693803
Minimum0
Maximum1
Zeros794
Zeros (%)77.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:50.317915image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1844902519
Coefficient of variation (CV)5.235706114
Kurtosis23.56604408
Mean0.03523693803
Median Absolute Deviation (MAD)0
Skewness5.050621862
Sum29
Variance0.03403665304
MonotonicityNot monotonic
2024-05-04T15:22:50.451280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 794
77.6%
1 29
 
2.8%
(Missing) 200
 
19.6%
ValueCountFrequency (%)
0 794
77.6%
1 29
 
2.8%
ValueCountFrequency (%)
1 29
 
2.8%
0 794
77.6%

ant_aborto
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing61
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean0.3523908524
Minimum0
Maximum1
Zeros623
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:50.605123image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4779634008
Coefficient of variation (CV)1.356344518
Kurtosis-1.62027927
Mean0.3523908524
Median Absolute Deviation (MAD)0
Skewness0.6189455779
Sum339
Variance0.2284490125
MonotonicityNot monotonic
2024-05-04T15:22:50.771795image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 623
60.9%
1 339
33.1%
(Missing) 61
 
6.0%
ValueCountFrequency (%)
0 623
60.9%
1 339
33.1%
ValueCountFrequency (%)
1 339
33.1%
0 623
60.9%

ant_obito
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing76
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean0.04329461457
Minimum0
Maximum1
Zeros906
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:50.933967image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.20362705
Coefficient of variation (CV)4.703288203
Kurtosis18.24533393
Mean0.04329461457
Median Absolute Deviation (MAD)0
Skewness4.495198037
Sum41
Variance0.04146397548
MonotonicityNot monotonic
2024-05-04T15:22:51.085379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 906
88.6%
1 41
 
4.0%
(Missing) 76
 
7.4%
ValueCountFrequency (%)
0 906
88.6%
1 41
 
4.0%
ValueCountFrequency (%)
1 41
 
4.0%
0 906
88.6%

ant_mnt
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing63
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean0.05833333333
Minimum0
Maximum1
Zeros904
Zeros (%)88.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:51.228830image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2344948497
Coefficient of variation (CV)4.01991171
Kurtosis12.27488608
Mean0.05833333333
Median Absolute Deviation (MAD)0
Skewness3.774826842
Sum56
Variance0.05498783455
MonotonicityNot monotonic
2024-05-04T15:22:51.363161image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 904
88.4%
1 56
 
5.5%
(Missing) 63
 
6.2%
ValueCountFrequency (%)
0 904
88.4%
1 56
 
5.5%
ValueCountFrequency (%)
1 56
 
5.5%
0 904
88.4%

ant_malformado
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing193
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean0.04096385542
Minimum0
Maximum1
Zeros796
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:51.498696image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1983260129
Coefficient of variation (CV)4.841487961
Kurtosis19.5794482
Mean0.04096385542
Median Absolute Deviation (MAD)0
Skewness4.640288189
Sum34
Variance0.03933320738
MonotonicityNot monotonic
2024-05-04T15:22:51.633401image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 796
77.8%
1 34
 
3.3%
(Missing) 193
 
18.9%
ValueCountFrequency (%)
0 796
77.8%
1 34
 
3.3%
ValueCountFrequency (%)
1 34
 
3.3%
0 796
77.8%

ant_macrosomico
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing73
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean0.05368421053
Minimum0
Maximum1
Zeros899
Zeros (%)87.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:51.779595image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2255121913
Coefficient of variation (CV)4.200717289
Kurtosis13.76281905
Mean0.05368421053
Median Absolute Deviation (MAD)0
Skewness3.966591618
Sum51
Variance0.05085574843
MonotonicityNot monotonic
2024-05-04T15:22:51.925898image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 899
87.9%
1 51
 
5.0%
(Missing) 73
 
7.1%
ValueCountFrequency (%)
0 899
87.9%
1 51
 
5.0%
ValueCountFrequency (%)
1 51
 
5.0%
0 899
87.9%

cesarea_iter
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing60
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.02284527518
Minimum0
Maximum1
Zeros941
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:52.068722image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1494877043
Coefficient of variation (CV)6.543484513
Kurtosis39.00455237
Mean0.02284527518
Median Absolute Deviation (MAD)0
Skewness6.397151724
Sum22
Variance0.02234657375
MonotonicityNot monotonic
2024-05-04T15:22:52.220106image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 941
92.0%
1 22
 
2.2%
(Missing) 60
 
5.9%
ValueCountFrequency (%)
0 941
92.0%
1 22
 
2.2%
ValueCountFrequency (%)
1 22
 
2.2%
0 941
92.0%

ema
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing32
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean0.3632694248
Minimum0
Maximum1
Zeros631
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:52.378232image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4811843628
Coefficient of variation (CV)1.324593621
Kurtosis-1.679110696
Mean0.3632694248
Median Absolute Deviation (MAD)0
Skewness0.5694577316
Sum360
Variance0.231538391
MonotonicityNot monotonic
2024-05-04T15:22:52.524562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 631
61.7%
1 360
35.2%
(Missing) 32
 
3.1%
ValueCountFrequency (%)
0 631
61.7%
1 360
35.2%
ValueCountFrequency (%)
1 360
35.2%
0 631
61.7%

alta_paridad
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing52
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean0.4428424305
Minimum0
Maximum1
Zeros541
Zeros (%)52.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:52.667708image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4969782452
Coefficient of variation (CV)1.122246223
Kurtosis-1.950894554
Mean0.4428424305
Median Absolute Deviation (MAD)0
Skewness0.2304951669
Sum430
Variance0.2469873762
MonotonicityNot monotonic
2024-05-04T15:22:52.828838image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 541
52.9%
1 430
42.0%
(Missing) 52
 
5.1%
ValueCountFrequency (%)
0 541
52.9%
1 430
42.0%
ValueCountFrequency (%)
1 430
42.0%
0 541
52.9%

estatura_baja
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing55
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean0.1425619835
Minimum0
Maximum1
Zeros830
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:52.968823image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3498063377
Coefficient of variation (CV)2.453714021
Kurtosis2.198288148
Mean0.1425619835
Median Absolute Deviation (MAD)0
Skewness2.047864862
Sum138
Variance0.1223644739
MonotonicityNot monotonic
2024-05-04T15:22:53.109943image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 830
81.1%
1 138
 
13.5%
(Missing) 55
 
5.4%
ValueCountFrequency (%)
0 830
81.1%
1 138
 
13.5%
ValueCountFrequency (%)
1 138
 
13.5%
0 830
81.1%

pgr
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing69
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean0.1519916143
Minimum0
Maximum1
Zeros809
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:53.246790image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3592010721
Coefficient of variation (CV)2.36329533
Kurtosis1.774111331
Mean0.1519916143
Median Absolute Deviation (MAD)0
Skewness1.941750862
Sum145
Variance0.1290254102
MonotonicityNot monotonic
2024-05-04T15:22:53.383115image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 809
79.1%
1 145
 
14.2%
(Missing) 69
 
6.7%
ValueCountFrequency (%)
0 809
79.1%
1 145
 
14.2%
ValueCountFrequency (%)
1 145
 
14.2%
0 809
79.1%

infeccion_pregesta
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.3%
Missing255
Missing (%)24.9%
Infinite0
Infinite (%)0.0%
Mean0.2122395833
Minimum0
Maximum1
Zeros605
Zeros (%)59.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:53.513822image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.409160026
Coefficient of variation (CV)1.927821472
Kurtosis-0.01119246488
Mean0.2122395833
Median Absolute Deviation (MAD)0
Skewness1.410263618
Sum163
Variance0.1674119269
MonotonicityNot monotonic
2024-05-04T15:22:53.658083image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 605
59.1%
1 163
 
15.9%
(Missing) 255
24.9%
ValueCountFrequency (%)
0 605
59.1%
1 163
 
15.9%
ValueCountFrequency (%)
1 163
 
15.9%
0 605
59.1%

embarazo_multiple
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing79
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean0.02542372881
Minimum0
Maximum1
Zeros920
Zeros (%)89.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:53.801165image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1574917073
Coefficient of variation (CV)6.19467382
Kurtosis34.54848819
Mean0.02542372881
Median Absolute Deviation (MAD)0
Skewness6.03947817
Sum24
Variance0.02480363787
MonotonicityNot monotonic
2024-05-04T15:22:53.939065image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 920
89.9%
1 24
 
2.3%
(Missing) 79
 
7.7%
ValueCountFrequency (%)
0 920
89.9%
1 24
 
2.3%
ValueCountFrequency (%)
1 24
 
2.3%
0 920
89.9%

preeclampsia
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing104
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean0.06420021763
Minimum0
Maximum1
Zeros860
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:54.069078image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2452427261
Coefficient of variation (CV)3.819967209
Kurtosis10.70957644
Mean0.06420021763
Median Absolute Deviation (MAD)0
Skewness3.561779625
Sum59
Variance0.06014399473
MonotonicityNot monotonic
2024-05-04T15:22:54.201044image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 860
84.1%
1 59
 
5.8%
(Missing) 104
 
10.2%
ValueCountFrequency (%)
0 860
84.1%
1 59
 
5.8%
ValueCountFrequency (%)
1 59
 
5.8%
0 860
84.1%

polihidramnios
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing126
Missing (%)12.3%
Infinite0
Infinite (%)0.0%
Mean0.02452619844
Minimum0
Maximum1
Zeros875
Zeros (%)85.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:54.332892image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1547622876
Coefficient of variation (CV)6.310080544
Kurtosis36.00493506
Mean0.02452619844
Median Absolute Deviation (MAD)0
Skewness6.158300194
Sum22
Variance0.02395136566
MonotonicityNot monotonic
2024-05-04T15:22:54.470293image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 875
85.5%
1 22
 
2.2%
(Missing) 126
 
12.3%
ValueCountFrequency (%)
0 875
85.5%
1 22
 
2.2%
ValueCountFrequency (%)
1 22
 
2.2%
0 875
85.5%

hidramnios
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing102
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean0.04668838219
Minimum0
Maximum1
Zeros878
Zeros (%)85.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:54.610853image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2110851867
Coefficient of variation (CV)4.521150162
Kurtosis16.56387391
Mean0.04668838219
Median Absolute Deviation (MAD)0
Skewness4.304405792
Sum43
Variance0.04455695605
MonotonicityNot monotonic
2024-05-04T15:22:54.743114image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 878
85.8%
1 43
 
4.2%
(Missing) 102
 
10.0%
ValueCountFrequency (%)
0 878
85.8%
1 43
 
4.2%
ValueCountFrequency (%)
1 43
 
4.2%
0 878
85.8%

infeccion_gesta
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing110
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean0.2146768894
Minimum0
Maximum1
Zeros717
Zeros (%)70.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:54.884512image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4108230529
Coefficient of variation (CV)1.913680854
Kurtosis-0.06225135006
Mean0.2146768894
Median Absolute Deviation (MAD)0
Skewness1.392081111
Sum196
Variance0.1687755808
MonotonicityNot monotonic
2024-05-04T15:22:55.036108image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 717
70.1%
1 196
 
19.2%
(Missing) 110
 
10.8%
ValueCountFrequency (%)
0 717
70.1%
1 196
 
19.2%
ValueCountFrequency (%)
1 196
 
19.2%
0 717
70.1%

ac_fol_pregesta
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.9%
Missing789
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean0.1794871795
Minimum0
Maximum1
Zeros192
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:55.176308image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.384582369
Coefficient of variation (CV)2.142673199
Kurtosis0.8334122197
Mean0.1794871795
Median Absolute Deviation (MAD)0
Skewness1.681178796
Sum42
Variance0.1479035985
MonotonicityNot monotonic
2024-05-04T15:22:55.303735image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 192
 
18.8%
1 42
 
4.1%
(Missing) 789
77.1%
ValueCountFrequency (%)
0 192
18.8%
1 42
 
4.1%
ValueCountFrequency (%)
1 42
 
4.1%
0 192
18.8%

ac_fol_gesta
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)0.6%
Missing707
Missing (%)69.1%
Infinite0
Infinite (%)0.0%
Mean0.9905063291
Minimum0
Maximum1
Zeros3
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:55.445383image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09712565887
Coefficient of variation (CV)0.09805657573
Kurtosis101.9681333
Mean0.9905063291
Median Absolute Deviation (MAD)0
Skewness-10.16478197
Sum313
Variance0.009433393611
MonotonicityNot monotonic
2024-05-04T15:22:55.600256image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 313
30.6%
0 3
 
0.3%
(Missing) 707
69.1%
ValueCountFrequency (%)
0 3
 
0.3%
1 313
30.6%
ValueCountFrequency (%)
1 313
30.6%
0 3
 
0.3%

sdg_fol
Real number (ℝ)

MISSING  ZEROS 

Distinct52
Distinct (%)29.1%
Missing844
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean6.678324022
Minimum0
Maximum27
Zeros38
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:55.788324image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q39.45
95-th percentile15.1
Maximum27
Range27
Interquartile range (IQR)6.45

Descriptive statistics

Standard deviation5.122645306
Coefficient of variation (CV)0.76705552
Kurtosis1.083111085
Mean6.678324022
Median Absolute Deviation (MAD)3
Skewness0.7164115624
Sum1195.42
Variance26.24149493
MonotonicityNot monotonic
2024-05-04T15:22:56.037214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38
 
3.7%
5 13
 
1.3%
8 12
 
1.2%
7 12
 
1.2%
4 11
 
1.1%
9 10
 
1.0%
6 9
 
0.9%
3 7
 
0.7%
12 6
 
0.6%
10 6
 
0.6%
Other values (42) 55
 
5.4%
(Missing) 844
82.5%
ValueCountFrequency (%)
0 38
3.7%
1 2
 
0.2%
2 1
 
0.1%
3 7
 
0.7%
4 11
 
1.1%
ValueCountFrequency (%)
27 1
0.1%
24 1
0.1%
20 2
0.2%
17 2
0.2%
16.5 1
0.1%

trim_fol
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)1.2%
Missing779
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean0.9795081967
Minimum0
Maximum2
Zeros40
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:56.212821image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.555175948
Coefficient of variation (CV)0.5667905076
Kurtosis0.2828809416
Mean0.9795081967
Median Absolute Deviation (MAD)0
Skewness-0.009542647777
Sum239
Variance0.3082203333
MonotonicityNot monotonic
2024-05-04T15:22:56.363460image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 169
 
16.5%
0 40
 
3.9%
2 35
 
3.4%
(Missing) 779
76.1%
ValueCountFrequency (%)
0 40
 
3.9%
1 169
16.5%
2 35
 
3.4%
ValueCountFrequency (%)
2 35
 
3.4%
1 169
16.5%
0 40
 
3.9%

ac_fol_dosis_mg
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)10.2%
Missing826
Missing (%)80.7%
Infinite0
Infinite (%)0.0%
Mean1.985279188
Minimum0.1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:56.511585image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.4
Q10.4
median1
Q35
95-th percentile5.6
Maximum6
Range5.9
Interquartile range (IQR)4.6

Descriptive statistics

Standard deviation2.053819624
Coefficient of variation (CV)1.034524331
Kurtosis-1.041634562
Mean1.985279188
Median Absolute Deviation (MAD)0.6
Skewness0.8959498227
Sum391.1
Variance4.218175049
MonotonicityNot monotonic
2024-05-04T15:22:56.742001image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.4 55
 
5.4%
5 40
 
3.9%
1 28
 
2.7%
0.6 15
 
1.5%
0.8 13
 
1.3%
1.4 7
 
0.7%
6 6
 
0.6%
0.5 6
 
0.6%
4 5
 
0.5%
0.1 4
 
0.4%
Other values (10) 18
 
1.8%
(Missing) 826
80.7%
ValueCountFrequency (%)
0.1 4
 
0.4%
0.35 2
 
0.2%
0.4 55
5.4%
0.5 6
 
0.6%
0.6 15
 
1.5%
ValueCountFrequency (%)
6 6
 
0.6%
5.8 3
 
0.3%
5.6 3
 
0.3%
5.4 1
 
0.1%
5 40
3.9%

tx_ins
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing162
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean0.05691056911
Minimum0
Maximum1
Zeros812
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:56.907895image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2318063098
Coefficient of variation (CV)4.073168015
Kurtosis12.7124377
Mean0.05691056911
Median Absolute Deviation (MAD)0
Skewness3.831829008
Sum49
Variance0.05373416525
MonotonicityNot monotonic
2024-05-04T15:22:57.053007image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 812
79.4%
1 49
 
4.8%
(Missing) 162
 
15.8%
ValueCountFrequency (%)
0 812
79.4%
1 49
 
4.8%
ValueCountFrequency (%)
1 49
 
4.8%
0 812
79.4%

modo_parto
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.4%
Missing302
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean0.8058252427
Minimum0
Maximum2
Zeros149
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:57.195828image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4262490371
Coefficient of variation (CV)0.5289596485
Kurtosis0.4634498301
Mean0.8058252427
Median Absolute Deviation (MAD)0
Skewness-1.052385596
Sum581
Variance0.1816882416
MonotonicityNot monotonic
2024-05-04T15:22:57.367296image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 563
55.0%
0 149
 
14.6%
2 9
 
0.9%
(Missing) 302
29.5%
ValueCountFrequency (%)
0 149
 
14.6%
1 563
55.0%
2 9
 
0.9%
ValueCountFrequency (%)
2 9
 
0.9%
1 563
55.0%
0 149
 
14.6%

sdg_parto
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)14.6%
Missing449
Missing (%)43.9%
Infinite0
Infinite (%)0.0%
Mean37.46956446
Minimum22
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:57.547785image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile34
Q136.5
median38
Q339
95-th percentile40.2
Maximum41
Range19
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.19960618
Coefficient of variation (CV)0.05870380967
Kurtosis8.21472425
Mean37.46956446
Median Absolute Deviation (MAD)1
Skewness-2.042041381
Sum21507.53
Variance4.838267349
MonotonicityNot monotonic
2024-05-04T15:22:57.752506image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 60
 
5.9%
39 49
 
4.8%
37 29
 
2.8%
36 24
 
2.3%
37.5 20
 
2.0%
40 18
 
1.8%
38.5 17
 
1.7%
38.3 17
 
1.7%
38.2 16
 
1.6%
38.1 15
 
1.5%
Other values (74) 309
30.2%
(Missing) 449
43.9%
ValueCountFrequency (%)
22 1
0.1%
26 2
0.2%
26.5 1
0.1%
28 1
0.1%
28.4 1
0.1%
ValueCountFrequency (%)
41 5
0.5%
40.6 5
0.5%
40.5 5
0.5%
40.4 4
0.4%
40.3 8
0.8%

termino_rn
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)0.5%
Missing448
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean2.735652174
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:57.922961image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4568852478
Coefficient of variation (CV)0.1670114542
Kurtosis0.2390235504
Mean2.735652174
Median Absolute Deviation (MAD)0
Skewness-1.289686389
Sum1573
Variance0.2087441297
MonotonicityNot monotonic
2024-05-04T15:22:58.068588image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 427
41.7%
2 144
 
14.1%
1 4
 
0.4%
(Missing) 448
43.8%
ValueCountFrequency (%)
1 4
 
0.4%
2 144
 
14.1%
3 427
41.7%
ValueCountFrequency (%)
3 427
41.7%
2 144
 
14.1%
1 4
 
0.4%

sexo_rn
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)0.3%
Missing315
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean1.490112994
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:58.218006image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5002556503
Coefficient of variation (CV)0.3357165881
Kurtosis-2.004097995
Mean1.490112994
Median Absolute Deviation (MAD)0
Skewness0.03963978881
Sum1055
Variance0.2502557156
MonotonicityNot monotonic
2024-05-04T15:22:58.352393image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 361
35.3%
2 347
33.9%
(Missing) 315
30.8%
ValueCountFrequency (%)
1 361
35.3%
2 347
33.9%
ValueCountFrequency (%)
2 347
33.9%
1 361
35.3%

peso_rn
Real number (ℝ)

MISSING 

Distinct337
Distinct (%)47.5%
Missing313
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean2924.533803
Minimum499
Maximum4800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:58.524226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum499
5-th percentile2032.7
Q12608.5
median2967
Q33260
95-th percentile3710
Maximum4800
Range4301
Interquartile range (IQR)651.5

Descriptive statistics

Standard deviation553.7365607
Coefficient of variation (CV)0.1893418227
Kurtosis2.612354067
Mean2924.533803
Median Absolute Deviation (MAD)323
Skewness-0.7861839196
Sum2076419
Variance306624.1787
MonotonicityNot monotonic
2024-05-04T15:22:58.712242image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000 16
 
1.6%
3200 13
 
1.3%
3250 11
 
1.1%
3400 11
 
1.1%
2900 11
 
1.1%
2850 10
 
1.0%
3150 10
 
1.0%
3100 10
 
1.0%
2700 10
 
1.0%
2500 8
 
0.8%
Other values (327) 600
58.7%
(Missing) 313
30.6%
ValueCountFrequency (%)
499 1
0.1%
520 1
0.1%
590 1
0.1%
660 1
0.1%
730 1
0.1%
ValueCountFrequency (%)
4800 2
0.2%
4440 1
0.1%
4320 1
0.1%
4220 1
0.1%
4060 1
0.1%

talla_rn
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)5.9%
Missing378
Missing (%)37.0%
Infinite0
Infinite (%)0.0%
Mean48.92232558
Minimum20
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:58.883200image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile44
Q148
median49.5
Q351
95-th percentile53
Maximum57
Range37
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.36920621
Coefficient of variation (CV)0.06886848018
Kurtosis17.46293779
Mean48.92232558
Median Absolute Deviation (MAD)1.5
Skewness-3.036497477
Sum31554.9
Variance11.35155048
MonotonicityNot monotonic
2024-05-04T15:22:59.063050image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
50 134
 
13.1%
49 107
 
10.5%
51 80
 
7.8%
48 65
 
6.4%
52 52
 
5.1%
47 45
 
4.4%
46 29
 
2.8%
53 28
 
2.7%
45 19
 
1.9%
43 9
 
0.9%
Other values (28) 77
 
7.5%
(Missing) 378
37.0%
ValueCountFrequency (%)
20 1
 
0.1%
25 1
 
0.1%
27 1
 
0.1%
33 3
0.3%
35 1
 
0.1%
ValueCountFrequency (%)
57 1
 
0.1%
56 1
 
0.1%
55 3
0.3%
54 5
0.5%
53.5 2
 
0.2%

pc
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)10.7%
Missing836
Missing (%)81.7%
Infinite0
Infinite (%)0.0%
Mean33.89331551
Minimum30
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:59.230371image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile31
Q133
median34
Q335
95-th percentile36.35
Maximum38
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.599654103
Coefficient of variation (CV)0.04719674305
Kurtosis-0.247205678
Mean33.89331551
Median Absolute Deviation (MAD)1
Skewness0.003857398026
Sum6338.05
Variance2.558893249
MonotonicityNot monotonic
2024-05-04T15:22:59.392063image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
34 38
 
3.7%
35 33
 
3.2%
33 23
 
2.2%
32 17
 
1.7%
36 13
 
1.3%
32.5 12
 
1.2%
35.5 9
 
0.9%
33.5 7
 
0.7%
31 7
 
0.7%
34.5 6
 
0.6%
Other values (10) 22
 
2.2%
(Missing) 836
81.7%
ValueCountFrequency (%)
30 1
 
0.1%
30.5 3
0.3%
31 7
0.7%
31.3 1
 
0.1%
31.5 4
0.4%
ValueCountFrequency (%)
38 3
 
0.3%
37 4
 
0.4%
36.5 3
 
0.3%
36 13
1.3%
35.5 9
0.9%

capurro
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)11.1%
Missing536
Missing (%)52.4%
Infinite0
Infinite (%)0.0%
Mean38.07926078
Minimum22
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:22:59.568587image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile35
Q137
median38.3
Q339.3
95-th percentile40.4
Maximum49
Range27
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation2.14084352
Coefficient of variation (CV)0.05622072161
Kurtosis11.09505544
Mean38.07926078
Median Absolute Deviation (MAD)1.2
Skewness-1.929369065
Sum18544.6
Variance4.583210975
MonotonicityNot monotonic
2024-05-04T15:23:00.191846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 59
 
5.8%
38 58
 
5.7%
40 57
 
5.6%
37 54
 
5.3%
36 20
 
2.0%
38.4 18
 
1.8%
37.1 14
 
1.4%
37.5 12
 
1.2%
39.1 12
 
1.2%
35 12
 
1.2%
Other values (44) 171
 
16.7%
(Missing) 536
52.4%
ValueCountFrequency (%)
22 1
 
0.1%
27 1
 
0.1%
28 1
 
0.1%
30 5
0.5%
31 2
 
0.2%
ValueCountFrequency (%)
49 1
 
0.1%
41.2 2
 
0.2%
41.1 2
 
0.2%
41 11
1.1%
40.6 1
 
0.1%

apgar_1
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.5%
Missing632
Missing (%)61.8%
Infinite0
Infinite (%)0.0%
Mean8.017902813
Minimum3
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:00.328626image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q18
median8
Q38
95-th percentile9
Maximum9
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7104976232
Coefficient of variation (CV)0.08861389814
Kurtosis7.983675019
Mean8.017902813
Median Absolute Deviation (MAD)0
Skewness-1.664057583
Sum3135
Variance0.5048068726
MonotonicityNot monotonic
2024-05-04T15:23:00.462491image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
8 264
25.8%
9 76
 
7.4%
7 38
 
3.7%
6 10
 
1.0%
5 2
 
0.2%
3 1
 
0.1%
(Missing) 632
61.8%
ValueCountFrequency (%)
3 1
 
0.1%
5 2
 
0.2%
6 10
 
1.0%
7 38
 
3.7%
8 264
25.8%
ValueCountFrequency (%)
9 76
 
7.4%
8 264
25.8%
7 38
 
3.7%
6 10
 
1.0%
5 2
 
0.2%

apgar_5
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)1.3%
Missing630
Missing (%)61.6%
Infinite0
Infinite (%)0.0%
Mean8.8956743
Minimum5
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:00.597746image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q19
median9
Q39
95-th percentile9
Maximum10
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4247527682
Coefficient of variation (CV)0.04774823738
Kurtosis38.44412422
Mean8.8956743
Median Absolute Deviation (MAD)0
Skewness-5.23372759
Sum3496
Variance0.1804149141
MonotonicityNot monotonic
2024-05-04T15:23:00.736654image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
9 357
34.9%
8 29
 
2.8%
7 3
 
0.3%
5 2
 
0.2%
10 2
 
0.2%
(Missing) 630
61.6%
ValueCountFrequency (%)
5 2
 
0.2%
7 3
 
0.3%
8 29
 
2.8%
9 357
34.9%
10 2
 
0.2%
ValueCountFrequency (%)
10 2
 
0.2%
9 357
34.9%
8 29
 
2.8%
7 3
 
0.3%
5 2
 
0.2%

pH_A
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)18.5%
Missing872
Missing (%)85.2%
Infinite0
Infinite (%)0.0%
Mean7.300397351
Minimum7.01
Maximum7.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:00.896898image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum7.01
5-th percentile7.195
Q17.28
median7.31
Q37.34
95-th percentile7.375
Maximum7.42
Range0.41
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.06641165354
Coefficient of variation (CV)0.009096991622
Kurtosis5.605907566
Mean7.300397351
Median Absolute Deviation (MAD)0.03
Skewness-1.980204727
Sum1102.36
Variance0.004410507726
MonotonicityNot monotonic
2024-05-04T15:23:01.080429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
7.3 21
 
2.1%
7.33 16
 
1.6%
7.34 15
 
1.5%
7.28 12
 
1.2%
7.31 12
 
1.2%
7.32 11
 
1.1%
7.35 9
 
0.9%
7.36 8
 
0.8%
7.2 5
 
0.5%
7.29 5
 
0.5%
Other values (18) 37
 
3.6%
(Missing) 872
85.2%
ValueCountFrequency (%)
7.01 1
0.1%
7.02 1
0.1%
7.04 1
0.1%
7.08 1
0.1%
7.13 2
0.2%
ValueCountFrequency (%)
7.42 1
 
0.1%
7.4 2
0.2%
7.39 2
0.2%
7.38 3
0.3%
7.37 4
0.4%

pO2_A
Real number (ℝ)

MISSING 

Distinct107
Distinct (%)71.3%
Missing873
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean18.86533333
Minimum0
Maximum61
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:01.267278image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.67
Q114.475
median17.7
Q321.375
95-th percentile33.285
Maximum61
Range61
Interquartile range (IQR)6.9

Descriptive statistics

Standard deviation8.249864645
Coefficient of variation (CV)0.4373028825
Kurtosis6.876224824
Mean18.86533333
Median Absolute Deviation (MAD)3.3
Skewness1.872385493
Sum2829.8
Variance68.06026667
MonotonicityNot monotonic
2024-05-04T15:23:01.474396image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.9 4
 
0.4%
15.3 4
 
0.4%
17.7 3
 
0.3%
17.4 3
 
0.3%
14.4 3
 
0.3%
12.3 3
 
0.3%
15.6 3
 
0.3%
22 3
 
0.3%
16.7 2
 
0.2%
12.1 2
 
0.2%
Other values (97) 120
 
11.7%
(Missing) 873
85.3%
ValueCountFrequency (%)
0 1
0.1%
2 1
0.1%
4.8 1
0.1%
6.4 1
0.1%
6.8 1
0.1%
ValueCountFrequency (%)
61 1
0.1%
56.2 1
0.1%
43.2 1
0.1%
39.8 1
0.1%
38.3 1
0.1%

pCO2_A
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)77.9%
Missing874
Missing (%)85.4%
Infinite0
Infinite (%)0.0%
Mean44.03355705
Minimum20.1
Maximum79.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:01.685054image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum20.1
5-th percentile31.24
Q139
median43.8
Q348.5
95-th percentile57.06
Maximum79.3
Range59.2
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation9.028615251
Coefficient of variation (CV)0.2050394257
Kurtosis2.711199096
Mean44.03355705
Median Absolute Deviation (MAD)4.8
Skewness0.8910168932
Sum6561
Variance81.51589334
MonotonicityNot monotonic
2024-05-04T15:23:01.898861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45.3 3
 
0.3%
40.8 3
 
0.3%
44.7 3
 
0.3%
44 3
 
0.3%
44.1 3
 
0.3%
55.4 2
 
0.2%
42.9 2
 
0.2%
42.1 2
 
0.2%
34.5 2
 
0.2%
42.5 2
 
0.2%
Other values (106) 124
 
12.1%
(Missing) 874
85.4%
ValueCountFrequency (%)
20.1 1
0.1%
23.5 1
0.1%
25.3 1
0.1%
26.7 1
0.1%
29.1 1
0.1%
ValueCountFrequency (%)
79.3 1
0.1%
77.1 1
0.1%
71.1 1
0.1%
70.4 1
0.1%
64.8 1
0.1%

pH_V
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)19.6%
Missing875
Missing (%)85.5%
Infinite0
Infinite (%)0.0%
Mean7.338918919
Minimum7.03
Maximum7.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:02.091243image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum7.03
5-th percentile7.21
Q17.32
median7.35
Q37.37
95-th percentile7.41
Maximum7.53
Range0.5
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.06545637936
Coefficient of variation (CV)0.008919076513
Kurtosis5.618653407
Mean7.338918919
Median Absolute Deviation (MAD)0.03
Skewness-1.66065032
Sum1086.16
Variance0.004284537599
MonotonicityNot monotonic
2024-05-04T15:23:02.266019image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
7.35 19
 
1.9%
7.36 17
 
1.7%
7.37 13
 
1.3%
7.34 11
 
1.1%
7.3 11
 
1.1%
7.38 10
 
1.0%
7.32 10
 
1.0%
7.4 9
 
0.9%
7.33 7
 
0.7%
7.39 7
 
0.7%
Other values (19) 34
 
3.3%
(Missing) 875
85.5%
ValueCountFrequency (%)
7.03 1
0.1%
7.1 1
0.1%
7.11 1
0.1%
7.12 1
0.1%
7.17 1
0.1%
ValueCountFrequency (%)
7.53 1
0.1%
7.47 1
0.1%
7.46 1
0.1%
7.44 1
0.1%
7.43 1
0.1%

pO2_V
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)83.7%
Missing876
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean27.29904762
Minimum5.1
Maximum48.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:02.539596image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile12.99
Q122.2
median27.4
Q333.15
95-th percentile39.57
Maximum48.3
Range43.2
Interquartile range (IQR)10.95

Descriptive statistics

Standard deviation8.473875836
Coefficient of variation (CV)0.3104092111
Kurtosis-0.04632633109
Mean27.29904762
Median Absolute Deviation (MAD)5.7
Skewness-0.08042202698
Sum4012.96
Variance71.80657169
MonotonicityNot monotonic
2024-05-04T15:23:02.784297image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.3 3
 
0.3%
31.2 3
 
0.3%
29.6 3
 
0.3%
28.9 3
 
0.3%
26 2
 
0.2%
25.4 2
 
0.2%
25.6 2
 
0.2%
34.2 2
 
0.2%
20.4 2
 
0.2%
24.1 2
 
0.2%
Other values (113) 123
 
12.0%
(Missing) 876
85.6%
ValueCountFrequency (%)
5.1 1
0.1%
7.6 1
0.1%
9.4 1
0.1%
9.8 1
0.1%
10.1 1
0.1%
ValueCountFrequency (%)
48.3 1
0.1%
47.3 1
0.1%
47 1
0.1%
45.1 1
0.1%
44.8 1
0.1%

pCO2_V
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)70.7%
Missing876
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean38.76258503
Minimum15.8
Maximum71.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:03.020594image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum15.8
5-th percentile29.64
Q134.45
median37.6
Q341.05
95-th percentile53.66
Maximum71.8
Range56
Interquartile range (IQR)6.6

Descriptive statistics

Standard deviation7.959195689
Coefficient of variation (CV)0.2053319117
Kurtosis3.825664866
Mean38.76258503
Median Absolute Deviation (MAD)3.3
Skewness1.272328827
Sum5698.1
Variance63.34879601
MonotonicityNot monotonic
2024-05-04T15:23:03.299515image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.9 5
 
0.5%
36.6 4
 
0.4%
32.2 3
 
0.3%
39.2 3
 
0.3%
38.1 3
 
0.3%
30.2 3
 
0.3%
34.6 3
 
0.3%
38.7 3
 
0.3%
34 3
 
0.3%
37.6 2
 
0.2%
Other values (94) 115
 
11.2%
(Missing) 876
85.6%
ValueCountFrequency (%)
15.8 1
0.1%
18.1 1
0.1%
26.3 1
0.1%
27 1
0.1%
27.3 1
0.1%
ValueCountFrequency (%)
71.8 1
0.1%
69.9 1
0.1%
62.7 1
0.1%
60.2 1
0.1%
58.4 1
0.1%

macrosomia_rn
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.5%
Missing464
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean1.019677996
Minimum0
Maximum2
Zeros13
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:03.529846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2567495399
Coefficient of variation (CV)0.2517947242
Kurtosis12.08265652
Mean1.019677996
Median Absolute Deviation (MAD)0
Skewness0.9377169197
Sum570
Variance0.06592032624
MonotonicityNot monotonic
2024-05-04T15:23:03.711821image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 522
51.0%
2 24
 
2.3%
0 13
 
1.3%
(Missing) 464
45.4%
ValueCountFrequency (%)
0 13
 
1.3%
1 522
51.0%
2 24
 
2.3%
ValueCountFrequency (%)
2 24
 
2.3%
1 522
51.0%
0 13
 
1.3%

percentil_peso
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)1.5%
Missing503
Missing (%)49.2%
Infinite0
Infinite (%)0.0%
Mean2.994230769
Minimum0
Maximum7
Zeros13
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:03.917638image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.343637467
Coefficient of variation (CV)0.4487421212
Kurtosis0.1878952265
Mean2.994230769
Median Absolute Deviation (MAD)1
Skewness0.2401814952
Sum1557
Variance1.805361642
MonotonicityNot monotonic
2024-05-04T15:23:04.156427image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 172
 
16.8%
2 112
 
10.9%
4 108
 
10.6%
1 54
 
5.3%
5 40
 
3.9%
6 16
 
1.6%
0 13
 
1.3%
7 5
 
0.5%
(Missing) 503
49.2%
ValueCountFrequency (%)
0 13
 
1.3%
1 54
 
5.3%
2 112
10.9%
3 172
16.8%
4 108
10.6%
ValueCountFrequency (%)
7 5
 
0.5%
6 16
 
1.6%
5 40
 
3.9%
4 108
10.6%
3 172
16.8%

malformaciones_rn
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.3%
Missing299
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean0.02900552486
Minimum0
Maximum1
Zeros703
Zeros (%)68.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:04.332276image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1679379618
Coefficient of variation (CV)5.789861161
Kurtosis29.71918482
Mean0.02900552486
Median Absolute Deviation (MAD)0
Skewness5.624686209
Sum21
Variance0.02820315903
MonotonicityNot monotonic
2024-05-04T15:23:04.488657image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 703
68.7%
1 21
 
2.1%
(Missing) 299
29.2%
ValueCountFrequency (%)
0 703
68.7%
1 21
 
2.1%
ValueCountFrequency (%)
1 21
 
2.1%
0 703
68.7%

app
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.3%
Missing268
Missing (%)26.2%
Infinite0
Infinite (%)0.0%
Mean0.2132450331
Minimum0
Maximum1
Zeros594
Zeros (%)58.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:04.632452image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4098708305
Coefficient of variation (CV)1.922065075
Kurtosis-0.03178885948
Mean0.2132450331
Median Absolute Deviation (MAD)0
Skewness1.402962001
Sum161
Variance0.1679940977
MonotonicityNot monotonic
2024-05-04T15:23:04.780736image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 594
58.1%
1 161
 
15.7%
(Missing) 268
26.2%
ValueCountFrequency (%)
0 594
58.1%
1 161
 
15.7%
ValueCountFrequency (%)
1 161
 
15.7%
0 594
58.1%

aborto_rn
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2
Distinct (%)0.3%
Missing298
Missing (%)29.1%
Infinite0
Infinite (%)0.0%
Mean0.001379310345
Minimum0
Maximum1
Zeros724
Zeros (%)70.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:04.929277image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03713906764
Coefficient of variation (CV)26.92582404
Kurtosis725
Mean0.001379310345
Median Absolute Deviation (MAD)0
Skewness26.92582404
Sum1
Variance0.001379310345
MonotonicityNot monotonic
2024-05-04T15:23:05.077844image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 724
70.8%
1 1
 
0.1%
(Missing) 298
29.1%
ValueCountFrequency (%)
0 724
70.8%
1 1
 
0.1%
ValueCountFrequency (%)
1 1
 
0.1%
0 724
70.8%

obito_rn
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.3%
Missing299
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean0.006906077348
Minimum0
Maximum1
Zeros719
Zeros (%)70.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:05.212967image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08287260978
Coefficient of variation (CV)11.9999539
Kurtosis140.7856282
Mean0.006906077348
Median Absolute Deviation (MAD)0
Skewness11.93300984
Sum5
Variance0.006867869451
MonotonicityNot monotonic
2024-05-04T15:23:05.357761image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 719
70.3%
1 5
 
0.5%
(Missing) 299
29.2%
ValueCountFrequency (%)
0 719
70.3%
1 5
 
0.5%
ValueCountFrequency (%)
1 5
 
0.5%
0 719
70.3%

mnt_rn
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.3%
Missing299
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean0.004143646409
Minimum0
Maximum1
Zeros721
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:05.490349image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06428206624
Coefficient of variation (CV)15.51340532
Kurtosis237.9861458
Mean0.004143646409
Median Absolute Deviation (MAD)0
Skewness15.47025309
Sum3
Variance0.00413218404
MonotonicityNot monotonic
2024-05-04T15:23:05.625276image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 721
70.5%
1 3
 
0.3%
(Missing) 299
29.2%
ValueCountFrequency (%)
0 721
70.5%
1 3
 
0.3%
ValueCountFrequency (%)
1 3
 
0.3%
0 721
70.5%

peso_placenta
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)25.3%
Missing754
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean556.5724907
Minimum180
Maximum980
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:05.794868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile350
Q1450
median550
Q3650
95-th percentile792
Maximum980
Range800
Interquartile range (IQR)200

Descriptive statistics

Standard deviation135.0362284
Coefficient of variation (CV)0.2426210972
Kurtosis-0.05363353827
Mean556.5724907
Median Absolute Deviation (MAD)100
Skewness0.2593199605
Sum149718
Variance18234.78297
MonotonicityNot monotonic
2024-05-04T15:23:06.000656image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
500 34
 
3.3%
600 26
 
2.5%
400 25
 
2.4%
450 20
 
2.0%
550 20
 
2.0%
650 17
 
1.7%
700 15
 
1.5%
750 10
 
1.0%
300 7
 
0.7%
480 6
 
0.6%
Other values (58) 89
 
8.7%
(Missing) 754
73.7%
ValueCountFrequency (%)
180 1
 
0.1%
280 1
 
0.1%
290 1
 
0.1%
300 7
0.7%
340 1
 
0.1%
ValueCountFrequency (%)
980 1
0.1%
950 1
0.1%
900 1
0.1%
860 2
0.2%
850 1
0.1%

fur
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing276
Missing (%)27.0%
Memory size8.1 KiB

fecha_encuesta
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing264
Missing (%)25.8%
Memory size8.1 KiB

ano_gesta
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)1.8%
Missing48
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean2006.982564
Minimum1996
Maximum2013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:06.175485image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1996
5-th percentile2001
Q12004
median2006
Q32011
95-th percentile2012
Maximum2013
Range17
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.739009025
Coefficient of variation (CV)0.001863000253
Kurtosis-0.7415827421
Mean2006.982564
Median Absolute Deviation (MAD)3
Skewness-0.1485721963
Sum1956808
Variance13.98018849
MonotonicityNot monotonic
2024-05-04T15:23:06.404139image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2006 183
17.9%
2011 153
15.0%
2012 114
11.1%
2004 108
10.6%
2007 89
8.7%
2003 71
 
6.9%
2008 61
 
6.0%
2005 46
 
4.5%
2013 35
 
3.4%
2002 25
 
2.4%
Other values (8) 90
8.8%
(Missing) 48
 
4.7%
ValueCountFrequency (%)
1996 1
 
0.1%
1997 2
 
0.2%
1998 9
0.9%
1999 13
1.3%
2000 22
2.2%
ValueCountFrequency (%)
2013 35
 
3.4%
2012 114
11.1%
2011 153
15.0%
2010 6
 
0.6%
2009 14
 
1.4%

muestra_gesta_estudio
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.7944111776
Minimum0
Maximum1
Zeros206
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:06.619159image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4043330525
Coefficient of variation (CV)0.5089720083
Kurtosis0.1294989939
Mean0.7944111776
Median Absolute Deviation (MAD)0
Skewness-1.459193099
Sum796
Variance0.1634852174
MonotonicityNot monotonic
2024-05-04T15:23:06.817173image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 796
77.8%
0 206
 
20.1%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 206
 
20.1%
1 796
77.8%
ValueCountFrequency (%)
1 796
77.8%
0 206
 
20.1%

fecha_muestra
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing158
Missing (%)15.4%
Memory size8.1 KiB

sdg_muestra
Real number (ℝ)

MISSING 

Distinct243
Distinct (%)38.5%
Missing392
Missing (%)38.3%
Infinite0
Infinite (%)0.0%
Mean31.27291601
Minimum-45.71
Maximum345.86
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size8.1 KiB
2024-05-04T15:23:07.069184image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-45.71
5-th percentile19.36
Q125.52
median28
Q331.78
95-th percentile37.5
Maximum345.86
Range391.57
Interquartile range (IQR)6.26

Descriptive statistics

Standard deviation26.95984602
Coefficient of variation (CV)0.8620828968
Kurtosis89.72152371
Mean31.27291601
Median Absolute Deviation (MAD)3
Skewness8.969965324
Sum19733.21
Variance726.8332975
MonotonicityNot monotonic
2024-05-04T15:23:07.353912image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 24
 
2.3%
26 21
 
2.1%
27 18
 
1.8%
24 13
 
1.3%
25 12
 
1.2%
33.71 11
 
1.1%
27.29 11
 
1.1%
31 11
 
1.1%
29 10
 
1.0%
30 10
 
1.0%
Other values (233) 490
47.9%
(Missing) 392
38.3%
ValueCountFrequency (%)
-45.71 1
0.1%
9.57 1
0.1%
11.71 1
0.1%
13.71 1
0.1%
14.28 1
0.1%
ValueCountFrequency (%)
345.86 1
0.1%
344.16 1
0.1%
283.14 1
0.1%
278.43 1
0.1%
253.14 1
0.1%

ins_dx
Real number (ℝ)

MISSING 

Distinct224
Distinct (%)47.5%
Missing551
Missing (%)53.9%
Infinite0
Infinite (%)0.0%
Mean16.86165254
Minimum2.5
Maximum250.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:07.546424image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile5.1
Q18.6
median12.95
Q318.55
95-th percentile36.315
Maximum250.6
Range248.1
Interquartile range (IQR)9.95

Descriptive statistics

Standard deviation19.83270027
Coefficient of variation (CV)1.176201456
Kurtosis63.55352044
Mean16.86165254
Median Absolute Deviation (MAD)4.55
Skewness6.962488323
Sum7958.7
Variance393.3359998
MonotonicityNot monotonic
2024-05-04T15:23:07.742171image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.7 6
 
0.6%
14.2 6
 
0.6%
5.4 5
 
0.5%
6.9 5
 
0.5%
10 5
 
0.5%
5.3 5
 
0.5%
10.3 5
 
0.5%
13.8 5
 
0.5%
12.2 5
 
0.5%
10.5 5
 
0.5%
Other values (214) 420
41.1%
(Missing) 551
53.9%
ValueCountFrequency (%)
2.5 1
0.1%
2.8 1
0.1%
3.2 1
0.1%
3.3 2
0.2%
3.4 1
0.1%
ValueCountFrequency (%)
250.6 1
0.1%
182.1 1
0.1%
169.4 1
0.1%
156.4 1
0.1%
107 1
0.1%

gluc_dx
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)12.4%
Missing457
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean81.94964664
Minimum51
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:07.949470image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile63
Q174
median80
Q388
95-th percentile105.75
Maximum163
Range112
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.81289733
Coefficient of variation (CV)0.1685534703
Kurtosis6.366207624
Mean81.94964664
Median Absolute Deviation (MAD)7
Skewness1.681869055
Sum46383.5
Variance190.7961326
MonotonicityNot monotonic
2024-05-04T15:23:08.144191image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83 29
 
2.8%
75 27
 
2.6%
76 26
 
2.5%
79 24
 
2.3%
77 22
 
2.2%
71 21
 
2.1%
81 20
 
2.0%
80 20
 
2.0%
86 19
 
1.9%
88 18
 
1.8%
Other values (60) 340
33.2%
(Missing) 457
44.7%
ValueCountFrequency (%)
51 2
 
0.2%
56 1
 
0.1%
57 2
 
0.2%
58 3
0.3%
59 6
0.6%
ValueCountFrequency (%)
163 1
0.1%
159 1
0.1%
156 1
0.1%
150 1
0.1%
144 1
0.1%

urico_dx
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)27.7%
Missing882
Missing (%)86.2%
Infinite0
Infinite (%)0.0%
Mean4.256028369
Minimum2.4
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:08.312126image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile3
Q13.6
median4.2
Q34.7
95-th percentile6.3
Maximum8
Range5.6
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation1.014211079
Coefficient of variation (CV)0.238299887
Kurtosis1.832513188
Mean4.256028369
Median Absolute Deviation (MAD)0.6
Skewness1.067206336
Sum600.1
Variance1.028624113
MonotonicityNot monotonic
2024-05-04T15:23:08.507929image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
4.2 10
 
1.0%
3.8 9
 
0.9%
4.5 8
 
0.8%
4.1 8
 
0.8%
4.4 8
 
0.8%
3.2 7
 
0.7%
4.3 6
 
0.6%
3.6 6
 
0.6%
3.9 5
 
0.5%
3.7 5
 
0.5%
Other values (29) 69
 
6.7%
(Missing) 882
86.2%
ValueCountFrequency (%)
2.4 2
 
0.2%
2.6 1
 
0.1%
2.7 2
 
0.2%
2.9 2
 
0.2%
3 5
0.5%
ValueCountFrequency (%)
8 1
0.1%
7.7 1
0.1%
7.4 1
0.1%
6.8 1
0.1%
6.6 1
0.1%

tg_dx
Real number (ℝ)

MISSING 

Distinct273
Distinct (%)48.1%
Missing456
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean252.9770723
Minimum29
Maximum820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:08.691500image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile135.3
Q1186
median240
Q3299
95-th percentile424.7
Maximum820
Range791
Interquartile range (IQR)113

Descriptive statistics

Standard deviation94.59245577
Coefficient of variation (CV)0.37391711
Kurtosis3.856249826
Mean252.9770723
Median Absolute Deviation (MAD)56
Skewness1.326035869
Sum143438
Variance8947.732689
MonotonicityNot monotonic
2024-05-04T15:23:08.893274image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
226 8
 
0.8%
237 7
 
0.7%
285 6
 
0.6%
243 6
 
0.6%
247 6
 
0.6%
268 6
 
0.6%
224 6
 
0.6%
209 6
 
0.6%
228 6
 
0.6%
225 6
 
0.6%
Other values (263) 504
49.3%
(Missing) 456
44.6%
ValueCountFrequency (%)
29 1
0.1%
45 1
0.1%
53 1
0.1%
71 1
0.1%
79 1
0.1%
ValueCountFrequency (%)
820 1
0.1%
641 1
0.1%
639 1
0.1%
638 1
0.1%
620 1
0.1%

ct_dx
Real number (ℝ)

MISSING 

Distinct192
Distinct (%)33.7%
Missing453
Missing (%)44.3%
Infinite0
Infinite (%)0.0%
Mean227.2964912
Minimum63
Maximum429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:09.100040image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum63
5-th percentile150
Q1194.25
median224
Q3258
95-th percentile311.55
Maximum429
Range366
Interquartile range (IQR)63.75

Descriptive statistics

Standard deviation49.68089548
Coefficient of variation (CV)0.2185730858
Kurtosis0.720039184
Mean227.2964912
Median Absolute Deviation (MAD)31
Skewness0.3391856583
Sum129559
Variance2468.191376
MonotonicityNot monotonic
2024-05-04T15:23:09.732478image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230 10
 
1.0%
214 10
 
1.0%
222 9
 
0.9%
283 9
 
0.9%
221 8
 
0.8%
240 8
 
0.8%
219 8
 
0.8%
194 7
 
0.7%
210 7
 
0.7%
193 6
 
0.6%
Other values (182) 488
47.7%
(Missing) 453
44.3%
ValueCountFrequency (%)
63 1
0.1%
89 1
0.1%
103 1
0.1%
110 1
0.1%
116 1
0.1%
ValueCountFrequency (%)
429 1
0.1%
403 1
0.1%
402 1
0.1%
370 1
0.1%
363 1
0.1%

hdl_dx
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)15.7%
Missing457
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean65.43286219
Minimum20
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:09.950598image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile36.25
Q154
median64
Q377
95-th percentile95.75
Maximum126
Range106
Interquartile range (IQR)23

Descriptive statistics

Standard deviation17.77285136
Coefficient of variation (CV)0.2716196536
Kurtosis0.1879967991
Mean65.43286219
Median Absolute Deviation (MAD)12
Skewness0.3706729367
Sum37035
Variance315.8742456
MonotonicityNot monotonic
2024-05-04T15:23:10.170130image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 19
 
1.9%
61 19
 
1.9%
77 16
 
1.6%
64 15
 
1.5%
57 15
 
1.5%
50 15
 
1.5%
70 15
 
1.5%
66 15
 
1.5%
67 14
 
1.4%
58 14
 
1.4%
Other values (79) 409
40.0%
(Missing) 457
44.7%
ValueCountFrequency (%)
20 1
0.1%
25 1
0.1%
26 1
0.1%
27 1
0.1%
28 1
0.1%
ValueCountFrequency (%)
126 1
0.1%
125 1
0.1%
122 1
0.1%
113 1
0.1%
111 1
0.1%

ldl_dx
Real number (ℝ)

MISSING 

Distinct146
Distinct (%)28.6%
Missing513
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean110.5627451
Minimum23
Maximum269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:10.386378image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile53
Q186
median108.5
Q3132
95-th percentile175
Maximum269
Range246
Interquartile range (IQR)46

Descriptive statistics

Standard deviation37.62605512
Coefficient of variation (CV)0.340314046
Kurtosis0.9355923724
Mean110.5627451
Median Absolute Deviation (MAD)23.5
Skewness0.5839659203
Sum56387
Variance1415.720024
MonotonicityNot monotonic
2024-05-04T15:23:10.587898image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125 9
 
0.9%
138 9
 
0.9%
106 9
 
0.9%
126 9
 
0.9%
123 9
 
0.9%
62 8
 
0.8%
104 8
 
0.8%
88 8
 
0.8%
124 8
 
0.8%
93 7
 
0.7%
Other values (136) 426
41.6%
(Missing) 513
50.1%
ValueCountFrequency (%)
23 2
0.2%
28 1
0.1%
30 1
0.1%
31 1
0.1%
35 1
0.1%
ValueCountFrequency (%)
269 1
0.1%
243 2
0.2%
228 1
0.1%
227 1
0.1%
217 2
0.2%

apob_dx
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)68.1%
Missing882
Missing (%)86.2%
Infinite0
Infinite (%)0.0%
Mean130.3361702
Minimum35
Maximum263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:10.802937image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile77.6
Q1104
median129
Q3155
95-th percentile183
Maximum263
Range228
Interquartile range (IQR)51

Descriptive statistics

Standard deviation34.87408018
Coefficient of variation (CV)0.2675702387
Kurtosis0.8292979748
Mean130.3361702
Median Absolute Deviation (MAD)26
Skewness0.2772995402
Sum18377.4
Variance1216.201468
MonotonicityNot monotonic
2024-05-04T15:23:11.072159image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 4
 
0.4%
161 4
 
0.4%
125 4
 
0.4%
103 4
 
0.4%
136 3
 
0.3%
130 3
 
0.3%
141 3
 
0.3%
123 3
 
0.3%
155 3
 
0.3%
118 3
 
0.3%
Other values (86) 107
 
10.5%
(Missing) 882
86.2%
ValueCountFrequency (%)
35 1
0.1%
52.3 1
0.1%
57.5 1
0.1%
66.1 1
0.1%
69.1 1
0.1%
ValueCountFrequency (%)
263 1
0.1%
217 1
0.1%
203 1
0.1%
192 1
0.1%
189 1
0.1%

lep_dx
Real number (ℝ)

MISSING 

Distinct194
Distinct (%)99.5%
Missing828
Missing (%)80.9%
Infinite0
Infinite (%)0.0%
Mean27.06832308
Minimum3.674
Maximum84.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:11.305546image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.674
5-th percentile7.7039
Q115.224
median23.593
Q335.916
95-th percentile60.0183
Maximum84.81
Range81.136
Interquartile range (IQR)20.692

Descriptive statistics

Standard deviation16.09766447
Coefficient of variation (CV)0.5947049039
Kurtosis0.9284804001
Mean27.06832308
Median Absolute Deviation (MAD)9.519
Skewness1.09534733
Sum5278.323
Variance259.1348015
MonotonicityNot monotonic
2024-05-04T15:23:11.572079image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61.926 2
 
0.2%
11.928 1
 
0.1%
10.218 1
 
0.1%
84.81 1
 
0.1%
42.138 1
 
0.1%
24.587 1
 
0.1%
30.052 1
 
0.1%
25.707 1
 
0.1%
21.929 1
 
0.1%
6.804 1
 
0.1%
Other values (184) 184
 
18.0%
(Missing) 828
80.9%
ValueCountFrequency (%)
3.674 1
0.1%
4.018 1
0.1%
4.084 1
0.1%
5.307 1
0.1%
5.721 1
0.1%
ValueCountFrequency (%)
84.81 1
0.1%
76.965 1
0.1%
75.673 1
0.1%
69.742 1
0.1%
67.575 1
0.1%

adipo_dx
Real number (ℝ)

MISSING 

Distinct184
Distinct (%)98.9%
Missing837
Missing (%)81.8%
Infinite0
Infinite (%)0.0%
Mean9.877274194
Minimum2.496
Maximum25.296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:11.796810image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.496
5-th percentile4.64525
Q17.19925
median9.317
Q311.7135
95-th percentile18.263
Maximum25.296
Range22.8
Interquartile range (IQR)4.51425

Descriptive statistics

Standard deviation3.924004224
Coefficient of variation (CV)0.3972760245
Kurtosis1.83289276
Mean9.877274194
Median Absolute Deviation (MAD)2.332
Skewness1.112822061
Sum1837.173
Variance15.39780915
MonotonicityNot monotonic
2024-05-04T15:23:12.012277image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.029 2
 
0.2%
7.895 2
 
0.2%
9.238 1
 
0.1%
14.801 1
 
0.1%
9.259 1
 
0.1%
13.63 1
 
0.1%
10.804 1
 
0.1%
11.023 1
 
0.1%
9.664 1
 
0.1%
7.092 1
 
0.1%
Other values (174) 174
 
17.0%
(Missing) 837
81.8%
ValueCountFrequency (%)
2.496 1
0.1%
3.313 1
0.1%
3.527 1
0.1%
3.797 1
0.1%
3.989 1
0.1%
ValueCountFrequency (%)
25.296 1
0.1%
22.588 1
0.1%
21.591 1
0.1%
21.454 1
0.1%
20.414 1
0.1%

pcr_dx
Real number (ℝ)

MISSING 

Distinct109
Distinct (%)77.9%
Missing883
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean189.2976929
Minimum0.41
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:12.219743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.41
5-th percentile1.178
Q13.085
median4.93
Q38.9325
95-th percentile999
Maximum999
Range998.59
Interquartile range (IQR)5.8475

Descriptive statistics

Standard deviation388.0822768
Coefficient of variation (CV)2.050116253
Kurtosis0.6790447978
Mean189.2976929
Median Absolute Deviation (MAD)2.675
Skewness1.633803471
Sum26501.677
Variance150607.8536
MonotonicityNot monotonic
2024-05-04T15:23:12.457602image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
999 26
 
2.5%
4.6 2
 
0.2%
6.34 2
 
0.2%
9.84 2
 
0.2%
1.83 2
 
0.2%
2.46 2
 
0.2%
4.59 2
 
0.2%
4.04 1
 
0.1%
3.44 1
 
0.1%
7.17 1
 
0.1%
Other values (99) 99
 
9.7%
(Missing) 883
86.3%
ValueCountFrequency (%)
0.41 1
0.1%
0.729 1
0.1%
0.937 1
0.1%
0.956 1
0.1%
0.965 1
0.1%
ValueCountFrequency (%)
999 26
2.5%
9.84 2
 
0.2%
9.75 1
 
0.1%
9.7 1
 
0.1%
9.68 1
 
0.1%

pgn_dx
Real number (ℝ)

MISSING 

Distinct151
Distinct (%)99.3%
Missing871
Missing (%)85.1%
Infinite0
Infinite (%)0.0%
Mean175.3973684
Minimum56.39
Maximum372.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:12.637284image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum56.39
5-th percentile76.981
Q1125.9375
median163.645
Q3210.985
95-th percentile335.3845
Maximum372.86
Range316.47
Interquartile range (IQR)85.0475

Descriptive statistics

Standard deviation71.70699801
Coefficient of variation (CV)0.4088259628
Kurtosis0.2982381051
Mean175.3973684
Median Absolute Deviation (MAD)41.055
Skewness0.8102261758
Sum26660.4
Variance5141.893564
MonotonicityNot monotonic
2024-05-04T15:23:12.931698image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135.58 2
 
0.2%
123.9 1
 
0.1%
166.67 1
 
0.1%
76.99 1
 
0.1%
348.04 1
 
0.1%
336.39 1
 
0.1%
264.48 1
 
0.1%
335.2 1
 
0.1%
116.4 1
 
0.1%
195.2 1
 
0.1%
Other values (141) 141
 
13.8%
(Missing) 871
85.1%
ValueCountFrequency (%)
56.39 1
0.1%
62.31 1
0.1%
69.28 1
0.1%
70.69 1
0.1%
73.78 1
0.1%
ValueCountFrequency (%)
372.86 1
0.1%
356.04 1
0.1%
355.43 1
0.1%
348.04 1
0.1%
344.1 1
0.1%

e2_dx
Real number (ℝ)

MISSING 

Distinct162
Distinct (%)99.4%
Missing860
Missing (%)84.1%
Infinite0
Infinite (%)0.0%
Mean18511.0865
Minimum2584.3
Maximum67230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:13.163984image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2584.3
5-th percentile7027.53
Q112087.5
median16922
Q322205
95-th percentile33636
Maximum67230
Range64645.7
Interquartile range (IQR)10117.5

Descriptive statistics

Standard deviation10255.42926
Coefficient of variation (CV)0.5540155225
Kurtosis7.312141868
Mean18511.0865
Median Absolute Deviation (MAD)5225
Skewness2.111302495
Sum3017307.1
Variance105173829.3
MonotonicityNot monotonic
2024-05-04T15:23:13.382664image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12839 2
 
0.2%
17907 1
 
0.1%
14648 1
 
0.1%
14685 1
 
0.1%
13608 1
 
0.1%
5219.8 1
 
0.1%
10585 1
 
0.1%
7073.7 1
 
0.1%
15432 1
 
0.1%
18654.4 1
 
0.1%
Other values (152) 152
 
14.9%
(Missing) 860
84.1%
ValueCountFrequency (%)
2584.3 1
0.1%
2869.8 1
0.1%
4419.8 1
0.1%
5219.8 1
0.1%
6234.3 1
0.1%
ValueCountFrequency (%)
67230 1
0.1%
66192 1
0.1%
65622 1
0.1%
48100 1
0.1%
38472 1
0.1%

ins_madre_parto
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)84.0%
Missing973
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean15.254
Minimum3
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:13.614117image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.69
Q17.425
median11.4
Q315.65
95-th percentile35.03
Maximum102
Range99
Interquartile range (IQR)8.225

Descriptive statistics

Standard deviation15.86081309
Coefficient of variation (CV)1.039780588
Kurtosis18.87859588
Mean15.254
Median Absolute Deviation (MAD)4.15
Skewness3.928823781
Sum762.7
Variance251.5653918
MonotonicityNot monotonic
2024-05-04T15:23:13.803731image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
11.7 2
 
0.2%
8 2
 
0.2%
12.1 2
 
0.2%
9.2 2
 
0.2%
5 2
 
0.2%
15.5 2
 
0.2%
9.4 2
 
0.2%
4.8 2
 
0.2%
12.3 1
 
0.1%
18.1 1
 
0.1%
Other values (32) 32
 
3.1%
(Missing) 973
95.1%
ValueCountFrequency (%)
3 1
0.1%
4.4 1
0.1%
4.6 1
0.1%
4.8 2
0.2%
5 2
0.2%
ValueCountFrequency (%)
102 1
0.1%
58 1
0.1%
39.8 1
0.1%
29.2 1
0.1%
27.3 1
0.1%

gluc_madre_parto
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)58.8%
Missing972
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean84.09803922
Minimum64
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:13.975859image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum64
5-th percentile66
Q175
median82
Q388.5
95-th percentile114
Maximum120
Range56
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation13.16853052
Coefficient of variation (CV)0.1565854643
Kurtosis1.118080723
Mean84.09803922
Median Absolute Deviation (MAD)7
Skewness1.130687805
Sum4289
Variance173.4101961
MonotonicityNot monotonic
2024-05-04T15:23:14.144058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
83 5
 
0.5%
75 5
 
0.5%
85 4
 
0.4%
78 3
 
0.3%
79 3
 
0.3%
82 3
 
0.3%
84 2
 
0.2%
66 2
 
0.2%
71 2
 
0.2%
73 2
 
0.2%
Other values (20) 20
 
2.0%
(Missing) 972
95.0%
ValueCountFrequency (%)
64 1
0.1%
65 1
0.1%
66 2
0.2%
71 2
0.2%
73 2
0.2%
ValueCountFrequency (%)
120 1
0.1%
118 1
0.1%
116 1
0.1%
112 1
0.1%
106 1
0.1%

tg_madre_parto
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)92.2%
Missing972
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean317.3333333
Minimum159
Maximum829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:14.318609image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum159
5-th percentile181
Q1239
median286
Q3351
95-th percentile599
Maximum829
Range670
Interquartile range (IQR)112

Descriptive statistics

Standard deviation132.9078879
Coefficient of variation (CV)0.4188273778
Kurtosis5.8931605
Mean317.3333333
Median Absolute Deviation (MAD)59
Skewness2.212307513
Sum16184
Variance17664.50667
MonotonicityNot monotonic
2024-05-04T15:23:14.518252image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
279 2
 
0.2%
239 2
 
0.2%
255 2
 
0.2%
355 2
 
0.2%
341 1
 
0.1%
317 1
 
0.1%
168 1
 
0.1%
261 1
 
0.1%
286 1
 
0.1%
757 1
 
0.1%
Other values (37) 37
 
3.6%
(Missing) 972
95.0%
ValueCountFrequency (%)
159 1
0.1%
168 1
0.1%
179 1
0.1%
183 1
0.1%
185 1
0.1%
ValueCountFrequency (%)
829 1
0.1%
757 1
0.1%
661 1
0.1%
537 1
0.1%
446 1
0.1%

ct_madre_parto
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)92.2%
Missing972
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean253.7647059
Minimum159
Maximum461
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:14.699720image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum159
5-th percentile176.5
Q1213
median249
Q3274.5
95-th percentile385
Maximum461
Range302
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation63.5775395
Coefficient of variation (CV)0.2505373601
Kurtosis3.36560281
Mean253.7647059
Median Absolute Deviation (MAD)32
Skewness1.545959306
Sum12942
Variance4042.103529
MonotonicityNot monotonic
2024-05-04T15:23:14.876357image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
261 2
 
0.2%
211 2
 
0.2%
269 2
 
0.2%
283 2
 
0.2%
184 1
 
0.1%
214 1
 
0.1%
292 1
 
0.1%
421 1
 
0.1%
256 1
 
0.1%
268 1
 
0.1%
Other values (37) 37
 
3.6%
(Missing) 972
95.0%
ValueCountFrequency (%)
159 1
0.1%
160 1
0.1%
172 1
0.1%
181 1
0.1%
184 1
0.1%
ValueCountFrequency (%)
461 1
0.1%
456 1
0.1%
421 1
0.1%
349 1
0.1%
322 1
0.1%

hdl_madre_parto
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)68.6%
Missing972
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean67.54901961
Minimum39
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:15.049490image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile48.5
Q158
median66
Q377
95-th percentile90.5
Maximum97
Range58
Interquartile range (IQR)19

Descriptive statistics

Standard deviation13.26395676
Coefficient of variation (CV)0.196360463
Kurtosis-0.4660839943
Mean67.54901961
Median Absolute Deviation (MAD)9
Skewness0.1833946781
Sum3445
Variance175.932549
MonotonicityNot monotonic
2024-05-04T15:23:15.229937image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
66 4
 
0.4%
73 3
 
0.3%
78 2
 
0.2%
58 2
 
0.2%
64 2
 
0.2%
60 2
 
0.2%
52 2
 
0.2%
62 2
 
0.2%
72 2
 
0.2%
71 2
 
0.2%
Other values (25) 28
 
2.7%
(Missing) 972
95.0%
ValueCountFrequency (%)
39 1
0.1%
45 1
0.1%
48 1
0.1%
49 1
0.1%
50 1
0.1%
ValueCountFrequency (%)
97 1
0.1%
91 2
0.2%
90 1
0.1%
89 1
0.1%
87 1
0.1%

ldl_madre_parto
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)80.4%
Missing972
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean122.745098
Minimum50
Maximum312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:15.411362image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile59.5
Q194.5
median114
Q3144
95-th percentile194
Maximum312
Range262
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation49.14828304
Coefficient of variation (CV)0.4004093346
Kurtosis4.021517776
Mean122.745098
Median Absolute Deviation (MAD)22
Skewness1.53103553
Sum6260
Variance2415.553725
MonotonicityNot monotonic
2024-05-04T15:23:15.624686image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
134 2
 
0.2%
107 2
 
0.2%
63 2
 
0.2%
120 2
 
0.2%
112 2
 
0.2%
135 2
 
0.2%
127 2
 
0.2%
144 2
 
0.2%
50 2
 
0.2%
98 2
 
0.2%
Other values (31) 31
 
3.0%
(Missing) 972
95.0%
ValueCountFrequency (%)
50 2
0.2%
56 1
0.1%
63 2
0.2%
67 1
0.1%
77 1
0.1%
ValueCountFrequency (%)
312 1
0.1%
261 1
0.1%
197 1
0.1%
191 1
0.1%
190 1
0.1%

pgn_madre_parto
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)100.0%
Missing989
Missing (%)96.7%
Infinite0
Infinite (%)0.0%
Mean415.045
Minimum64.83
Maximum749.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:15.801151image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum64.83
5-th percentile220.449
Q1321.545
median397.05
Q3483.215
95-th percentile722.457
Maximum749.62
Range684.79
Interquartile range (IQR)161.67

Descriptive statistics

Standard deviation150.2595462
Coefficient of variation (CV)0.3620319391
Kurtosis0.58968911
Mean415.045
Median Absolute Deviation (MAD)83.59
Skewness0.437228996
Sum14111.53
Variance22577.93121
MonotonicityNot monotonic
2024-05-04T15:23:15.980840image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
470.24 1
 
0.1%
338.12 1
 
0.1%
487.54 1
 
0.1%
361.86 1
 
0.1%
215.86 1
 
0.1%
729.88 1
 
0.1%
332.96 1
 
0.1%
281.72 1
 
0.1%
447.9 1
 
0.1%
417 1
 
0.1%
Other values (24) 24
 
2.3%
(Missing) 989
96.7%
ValueCountFrequency (%)
64.83 1
0.1%
215.86 1
0.1%
222.92 1
0.1%
265.84 1
0.1%
281.72 1
0.1%
ValueCountFrequency (%)
749.62 1
0.1%
729.88 1
0.1%
718.46 1
0.1%
646.14 1
0.1%
571.86 1
0.1%

e2_madre_parto
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing983
Missing (%)96.1%
Infinite0
Infinite (%)0.0%
Mean24964.445
Minimum4446
Maximum51872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:16.183115image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4446
5-th percentile8069.175
Q116810.5
median22779.6
Q332838.4
95-th percentile46542.6
Maximum51872
Range47426
Interquartile range (IQR)16027.9

Descriptive statistics

Standard deviation12113.58603
Coefficient of variation (CV)0.4852335402
Kurtosis-0.505306619
Mean24964.445
Median Absolute Deviation (MAD)8269.75
Skewness0.4465463342
Sum998577.8
Variance146738966.4
MonotonicityNot monotonic
2024-05-04T15:23:16.368649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
16965.2 1
 
0.1%
4446 1
 
0.1%
25907.2 1
 
0.1%
6837.5 1
 
0.1%
17826.4 1
 
0.1%
33302.8 1
 
0.1%
10919 1
 
0.1%
32683.6 1
 
0.1%
17751.5 1
 
0.1%
16500 1
 
0.1%
Other values (30) 30
 
2.9%
(Missing) 983
96.1%
ValueCountFrequency (%)
4446 1
0.1%
6837.5 1
0.1%
8134 1
0.1%
8991.5 1
0.1%
10571.6 1
0.1%
ValueCountFrequency (%)
51872 1
0.1%
47960 1
0.1%
46468 1
0.1%
45696 1
0.1%
41928 1
0.1%

lep_madre_parto
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)100.0%
Missing972
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean19.2795098
Minimum2.839
Maximum45.772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:16.549825image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.839
5-th percentile5.6455
Q112.452
median16.907
Q325.072
95-th percentile39.1295
Maximum45.772
Range42.933
Interquartile range (IQR)12.62

Descriptive statistics

Standard deviation9.913242836
Coefficient of variation (CV)0.5141854195
Kurtosis0.458117846
Mean19.2795098
Median Absolute Deviation (MAD)6.282
Skewness0.7879292534
Sum983.255
Variance98.27238353
MonotonicityNot monotonic
2024-05-04T15:23:16.726457image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.556 1
 
0.1%
20.184 1
 
0.1%
35.996 1
 
0.1%
8.796 1
 
0.1%
9.961 1
 
0.1%
32.302 1
 
0.1%
32.322 1
 
0.1%
19.619 1
 
0.1%
15.403 1
 
0.1%
19.306 1
 
0.1%
Other values (41) 41
 
4.0%
(Missing) 972
95.0%
ValueCountFrequency (%)
2.839 1
0.1%
4.157 1
0.1%
4.522 1
0.1%
6.769 1
0.1%
7.704 1
0.1%
ValueCountFrequency (%)
45.772 1
0.1%
43.242 1
0.1%
42.263 1
0.1%
35.996 1
0.1%
32.322 1
0.1%

adipo_madre_parto
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)98.0%
Missing973
Missing (%)95.1%
Infinite0
Infinite (%)0.0%
Mean10.51574
Minimum4.163
Maximum26.292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:16.906555image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.163
5-th percentile5.75565
Q17.9975
median9.7255
Q311.986
95-th percentile18.25835
Maximum26.292
Range22.129
Interquartile range (IQR)3.9885

Descriptive statistics

Standard deviation4.240192659
Coefficient of variation (CV)0.4032234212
Kurtosis3.258549037
Mean10.51574
Median Absolute Deviation (MAD)2.167
Skewness1.560406056
Sum525.787
Variance17.97923379
MonotonicityNot monotonic
2024-05-04T15:23:17.093518image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
11.995 2
 
0.2%
7.9 1
 
0.1%
5.927 1
 
0.1%
8.485 1
 
0.1%
9.565 1
 
0.1%
5.73 1
 
0.1%
4.163 1
 
0.1%
6.282 1
 
0.1%
5.114 1
 
0.1%
13.398 1
 
0.1%
Other values (39) 39
 
3.8%
(Missing) 973
95.1%
ValueCountFrequency (%)
4.163 1
0.1%
5.114 1
0.1%
5.73 1
0.1%
5.787 1
0.1%
5.927 1
0.1%
ValueCountFrequency (%)
26.292 1
0.1%
20.897 1
0.1%
18.293 1
0.1%
18.216 1
0.1%
17.784 1
0.1%

ins_cordon_parto
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)89.4%
Missing976
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean7.574468085
Minimum1.1
Maximum45.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:17.715557image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile1.72
Q13.75
median5.6
Q37.65
95-th percentile21.23
Maximum45.5
Range44.4
Interquartile range (IQR)3.9

Descriptive statistics

Standard deviation8.0844582
Coefficient of variation (CV)1.067330156
Kurtosis12.56997791
Mean7.574468085
Median Absolute Deviation (MAD)2
Skewness3.357614531
Sum356
Variance65.35846438
MonotonicityNot monotonic
2024-05-04T15:23:17.894909image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
5.6 2
 
0.2%
7.6 2
 
0.2%
4 2
 
0.2%
3.5 2
 
0.2%
4.5 2
 
0.2%
7.2 1
 
0.1%
2.7 1
 
0.1%
6.5 1
 
0.1%
8.2 1
 
0.1%
7.7 1
 
0.1%
Other values (32) 32
 
3.1%
(Missing) 976
95.4%
ValueCountFrequency (%)
1.1 1
0.1%
1.3 1
0.1%
1.6 1
0.1%
2 1
0.1%
2.2 1
0.1%
ValueCountFrequency (%)
45.5 1
0.1%
35 1
0.1%
23.9 1
0.1%
15 1
0.1%
13.6 1
0.1%

gluc_cordon_parto
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)66.0%
Missing976
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean69.14893617
Minimum47
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:18.053589image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile52.3
Q161.5
median68
Q376
95-th percentile90.1
Maximum102
Range55
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation12.49169937
Coefficient of variation (CV)0.1806491909
Kurtosis0.2401658798
Mean69.14893617
Median Absolute Deviation (MAD)7
Skewness0.6458251129
Sum3250
Variance156.0425532
MonotonicityNot monotonic
2024-05-04T15:23:18.214218image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
69 4
 
0.4%
68 4
 
0.4%
64 3
 
0.3%
66 3
 
0.3%
53 2
 
0.2%
67 2
 
0.2%
77 2
 
0.2%
84 2
 
0.2%
62 2
 
0.2%
60 2
 
0.2%
Other values (21) 21
 
2.1%
(Missing) 976
95.4%
ValueCountFrequency (%)
47 1
0.1%
50 1
0.1%
52 1
0.1%
53 2
0.2%
54 1
0.1%
ValueCountFrequency (%)
102 1
0.1%
99 1
0.1%
91 1
0.1%
88 1
0.1%
87 1
0.1%

tg_cordon_parto
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)53.2%
Missing976
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean25.12765957
Minimum10
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:18.365627image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12.3
Q116
median22
Q328.5
95-th percentile35
Maximum156
Range146
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation20.76956073
Coefficient of variation (CV)0.8265616888
Kurtosis35.88402364
Mean25.12765957
Median Absolute Deviation (MAD)6
Skewness5.641697909
Sum1181
Variance431.3746531
MonotonicityNot monotonic
2024-05-04T15:23:18.525201image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
30 4
 
0.4%
22 4
 
0.4%
15 4
 
0.4%
16 3
 
0.3%
21 3
 
0.3%
25 3
 
0.3%
12 2
 
0.2%
35 2
 
0.2%
13 2
 
0.2%
20 2
 
0.2%
Other values (15) 18
 
1.8%
(Missing) 976
95.4%
ValueCountFrequency (%)
10 1
 
0.1%
12 2
0.2%
13 2
0.2%
14 1
 
0.1%
15 4
0.4%
ValueCountFrequency (%)
156 1
0.1%
39 1
0.1%
35 2
0.2%
34 1
0.1%
32 1
0.1%

ct_cordon_parto
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)72.3%
Missing976
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean64.74468085
Minimum31
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:18.719679image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile38
Q148.5
median61
Q376
95-th percentile104.4
Maximum123
Range92
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation21.32916771
Coefficient of variation (CV)0.3294350582
Kurtosis0.2977815006
Mean64.74468085
Median Absolute Deviation (MAD)13
Skewness0.8501255083
Sum3043
Variance454.933395
MonotonicityNot monotonic
2024-05-04T15:23:18.914942image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
54 3
 
0.3%
85 3
 
0.3%
38 2
 
0.2%
46 2
 
0.2%
74 2
 
0.2%
63 2
 
0.2%
56 2
 
0.2%
55 2
 
0.2%
70 2
 
0.2%
45 2
 
0.2%
Other values (24) 25
 
2.4%
(Missing) 976
95.4%
ValueCountFrequency (%)
31 1
0.1%
37 1
0.1%
38 2
0.2%
42 1
0.1%
43 1
0.1%
ValueCountFrequency (%)
123 1
0.1%
114 1
0.1%
105 1
0.1%
103 1
0.1%
100 1
0.1%

hdl_cordon_parto
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)59.6%
Missing976
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean32.36170213
Minimum14
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:19.070234image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile18.3
Q123.5
median30
Q338
95-th percentile54.5
Maximum66
Range52
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation11.85863386
Coefficient of variation (CV)0.3664403626
Kurtosis0.7762578602
Mean32.36170213
Median Absolute Deviation (MAD)7
Skewness0.9528911521
Sum1521
Variance140.627197
MonotonicityNot monotonic
2024-05-04T15:23:19.234736image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
29 5
 
0.5%
20 4
 
0.4%
37 3
 
0.3%
43 3
 
0.3%
25 2
 
0.2%
31 2
 
0.2%
35 2
 
0.2%
32 2
 
0.2%
26 2
 
0.2%
23 2
 
0.2%
Other values (18) 20
 
2.0%
(Missing) 976
95.4%
ValueCountFrequency (%)
14 1
 
0.1%
16 1
 
0.1%
18 1
 
0.1%
19 1
 
0.1%
20 4
0.4%
ValueCountFrequency (%)
66 1
0.1%
63 1
0.1%
56 1
0.1%
51 1
0.1%
48 1
0.1%

ldl_cordon_parto
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)48.9%
Missing976
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean27.40425532
Minimum13
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:19.411909image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile14.3
Q120.5
median26
Q332
95-th percentile42.8
Maximum66
Range53
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation10.84407186
Coefficient of variation (CV)0.3957075912
Kurtosis3.489812008
Mean27.40425532
Median Absolute Deviation (MAD)6
Skewness1.526018644
Sum1288
Variance117.5938945
MonotonicityNot monotonic
2024-05-04T15:23:19.564764image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
26 5
 
0.5%
24 4
 
0.4%
21 3
 
0.3%
28 3
 
0.3%
15 3
 
0.3%
36 3
 
0.3%
32 3
 
0.3%
35 2
 
0.2%
39 2
 
0.2%
23 2
 
0.2%
Other values (13) 17
 
1.7%
(Missing) 976
95.4%
ValueCountFrequency (%)
13 1
 
0.1%
14 2
0.2%
15 3
0.3%
16 1
 
0.1%
18 2
0.2%
ValueCountFrequency (%)
66 1
0.1%
60 1
0.1%
44 1
0.1%
40 1
0.1%
39 2
0.2%

pgn_cordon_parto
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)100.0%
Missing1012
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean518.2018182
Minimum354.06
Maximum724.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:19.712746image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum354.06
5-th percentile355.08
Q1382.36
median557.56
Q3605.69
95-th percentile685.16
Maximum724.6
Range370.54
Interquartile range (IQR)223.33

Descriptive statistics

Standard deviation130.3027006
Coefficient of variation (CV)0.251451647
Kurtosis-1.366633847
Mean518.2018182
Median Absolute Deviation (MAD)88.16
Skewness-0.04819652796
Sum5700.22
Variance16978.7938
MonotonicityNot monotonic
2024-05-04T15:23:19.879410image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
356.1 1
 
0.1%
645.72 1
 
0.1%
375.38 1
 
0.1%
574.28 1
 
0.1%
389.34 1
 
0.1%
354.06 1
 
0.1%
557.56 1
 
0.1%
560.92 1
 
0.1%
637.1 1
 
0.1%
724.6 1
 
0.1%
(Missing) 1012
98.9%
ValueCountFrequency (%)
354.06 1
0.1%
356.1 1
0.1%
375.38 1
0.1%
389.34 1
0.1%
525.16 1
0.1%
ValueCountFrequency (%)
724.6 1
0.1%
645.72 1
0.1%
637.1 1
0.1%
574.28 1
0.1%
560.92 1
0.1%

e2_cordon_parto
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)100.0%
Missing984
Missing (%)96.2%
Infinite0
Infinite (%)0.0%
Mean8842.161538
Minimum2087.25
Maximum18862.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:20.054172image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2087.25
5-th percentile3370.725
Q15648.65
median7732.5
Q311178.25
95-th percentile16685.81
Maximum18862.2
Range16774.95
Interquartile range (IQR)5529.6

Descriptive statistics

Standard deviation4275.776341
Coefficient of variation (CV)0.4835668657
Kurtosis-0.3973338121
Mean8842.161538
Median Absolute Deviation (MAD)2517.5
Skewness0.5866079827
Sum344844.3
Variance18282263.32
MonotonicityNot monotonic
2024-05-04T15:23:20.245013image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
9961.2 1
 
0.1%
2087.25 1
 
0.1%
10055 1
 
0.1%
6059.8 1
 
0.1%
13588 1
 
0.1%
5942 1
 
0.1%
5460.5 1
 
0.1%
7732.5 1
 
0.1%
12366.5 1
 
0.1%
11074.5 1
 
0.1%
Other values (29) 29
 
2.8%
(Missing) 984
96.2%
ValueCountFrequency (%)
2087.25 1
0.1%
2545.2 1
0.1%
3462.45 1
0.1%
3955.1 1
0.1%
4094.6 1
0.1%
ValueCountFrequency (%)
18862.2 1
0.1%
17661.5 1
0.1%
16577.4 1
0.1%
14760 1
0.1%
14543.4 1
0.1%

lep_cordon_parto
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)100.0%
Missing975
Missing (%)95.3%
Infinite0
Infinite (%)0.0%
Mean6.524208333
Minimum0.656
Maximum57.224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:20.425895image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.656
5-th percentile1.31335
Q12.85675
median4.377
Q37.2755
95-th percentile16.46485
Maximum57.224
Range56.568
Interquartile range (IQR)4.41875

Descriptive statistics

Standard deviation8.542198593
Coefficient of variation (CV)1.309308066
Kurtosis27.09555292
Mean6.524208333
Median Absolute Deviation (MAD)2.034
Skewness4.750668313
Sum313.162
Variance72.96915681
MonotonicityNot monotonic
2024-05-04T15:23:20.620818image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
3.396 1
 
0.1%
10.1 1
 
0.1%
2.449 1
 
0.1%
4.12 1
 
0.1%
4.692 1
 
0.1%
5.187 1
 
0.1%
5.375 1
 
0.1%
0.656 1
 
0.1%
13.729 1
 
0.1%
6.446 1
 
0.1%
Other values (38) 38
 
3.7%
(Missing) 975
95.3%
ValueCountFrequency (%)
0.656 1
0.1%
0.663 1
0.1%
1.208 1
0.1%
1.509 1
0.1%
1.819 1
0.1%
ValueCountFrequency (%)
57.224 1
0.1%
20.379 1
0.1%
17.938 1
0.1%
13.729 1
0.1%
11.311 1
0.1%

adipo_cordon_parto
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)100.0%
Missing976
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean53.48304255
Minimum9.003
Maximum153.351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:20.825501image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum9.003
5-th percentile24.5273
Q138.335
median46.901
Q365.66
95-th percentile99.3038
Maximum153.351
Range144.348
Interquartile range (IQR)27.325

Descriptive statistics

Standard deviation27.09707038
Coefficient of variation (CV)0.5066478847
Kurtosis3.219836215
Mean53.48304255
Median Absolute Deviation (MAD)13.104
Skewness1.487582215
Sum2513.703
Variance734.251223
MonotonicityNot monotonic
2024-05-04T15:23:21.053921image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
49.308 1
 
0.1%
38.812 1
 
0.1%
53.745 1
 
0.1%
82.345 1
 
0.1%
41.146 1
 
0.1%
42.386 1
 
0.1%
9.003 1
 
0.1%
39.587 1
 
0.1%
17.723 1
 
0.1%
60.005 1
 
0.1%
Other values (37) 37
 
3.6%
(Missing) 976
95.4%
ValueCountFrequency (%)
9.003 1
0.1%
17.723 1
0.1%
24.479 1
0.1%
24.64 1
0.1%
25.701 1
0.1%
ValueCountFrequency (%)
153.351 1
0.1%
118.593 1
0.1%
100.985 1
0.1%
95.381 1
0.1%
95.187 1
0.1%

ins_pp
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)49.0%
Missing772
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean10.2812749
Minimum2.3
Maximum78.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:21.266052image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile3.8
Q14.2
median7
Q312.45
95-th percentile26.2
Maximum78.6
Range76.3
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation9.214792888
Coefficient of variation (CV)0.896269478
Kurtosis15.10524797
Mean10.2812749
Median Absolute Deviation (MAD)3.2
Skewness3.10969347
Sum2580.6
Variance84.91240797
MonotonicityNot monotonic
2024-05-04T15:23:21.481454image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.8 46
 
4.5%
6 9
 
0.9%
6.8 7
 
0.7%
7 7
 
0.7%
9 6
 
0.6%
5.4 6
 
0.6%
5.2 5
 
0.5%
4.6 5
 
0.5%
9.1 5
 
0.5%
4.2 4
 
0.4%
Other values (113) 151
 
14.8%
(Missing) 772
75.5%
ValueCountFrequency (%)
2.3 1
 
0.1%
2.6 1
 
0.1%
2.9 1
 
0.1%
3.2 3
0.3%
3.5 1
 
0.1%
ValueCountFrequency (%)
78.6 1
0.1%
58.7 1
0.1%
41.7 1
0.1%
40 1
0.1%
36.6 1
0.1%

gluc_pp
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)17.2%
Missing570
Missing (%)55.7%
Infinite0
Infinite (%)0.0%
Mean98.73708609
Minimum66
Maximum309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:21.686635image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile80
Q189
median96
Q3104
95-th percentile123.4
Maximum309
Range243
Interquartile range (IQR)15

Descriptive statistics

Standard deviation19.59088854
Coefficient of variation (CV)0.1984146921
Kurtosis47.51685
Mean98.73708609
Median Absolute Deviation (MAD)8
Skewness5.224647851
Sum44727.9
Variance383.8029136
MonotonicityNot monotonic
2024-05-04T15:23:21.882212image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92 19
 
1.9%
93 19
 
1.9%
87 17
 
1.7%
100 17
 
1.7%
95 17
 
1.7%
90 16
 
1.6%
84 16
 
1.6%
98 15
 
1.5%
101 15
 
1.5%
96 15
 
1.5%
Other values (68) 287
28.1%
(Missing) 570
55.7%
ValueCountFrequency (%)
66 1
0.1%
67 1
0.1%
69 1
0.1%
70 1
0.1%
73 2
0.2%
ValueCountFrequency (%)
309 1
0.1%
285 1
0.1%
184 1
0.1%
176 1
0.1%
165 1
0.1%

crea_pp
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)4.5%
Missing844
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean0.8139664804
Minimum0.3
Maximum1.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:22.043939image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.6
Q10.7
median0.8
Q30.9
95-th percentile1
Maximum1.1
Range0.8
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.1253104863
Coefficient of variation (CV)0.1539504258
Kurtosis2.338221696
Mean0.8139664804
Median Absolute Deviation (MAD)0.1
Skewness-0.6658202802
Sum145.7
Variance0.01570271797
MonotonicityNot monotonic
2024-05-04T15:23:22.267312image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.8 61
 
6.0%
0.9 54
 
5.3%
0.7 33
 
3.2%
1 12
 
1.2%
0.6 11
 
1.1%
1.1 5
 
0.5%
0.3 2
 
0.2%
0.5 1
 
0.1%
(Missing) 844
82.5%
ValueCountFrequency (%)
0.3 2
 
0.2%
0.5 1
 
0.1%
0.6 11
 
1.1%
0.7 33
3.2%
0.8 61
6.0%
ValueCountFrequency (%)
1.1 5
 
0.5%
1 12
 
1.2%
0.9 54
5.3%
0.8 61
6.0%
0.7 33
3.2%

urico_pp
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)24.3%
Missing842
Missing (%)82.3%
Infinite0
Infinite (%)0.0%
Mean4.860220994
Minimum2
Maximum8.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:22.443059image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.2
Q14.2
median4.9
Q35.6
95-th percentile6.5
Maximum8.1
Range6.1
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.020167718
Coefficient of variation (CV)0.2099015084
Kurtosis0.1183119052
Mean4.860220994
Median Absolute Deviation (MAD)0.7
Skewness0.05983718449
Sum879.7
Variance1.040742173
MonotonicityNot monotonic
2024-05-04T15:23:22.631785image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
4.2 11
 
1.1%
5.1 11
 
1.1%
5.4 10
 
1.0%
4.9 9
 
0.9%
4.5 8
 
0.8%
5.8 7
 
0.7%
4.3 7
 
0.7%
5 7
 
0.7%
4.7 7
 
0.7%
4.4 7
 
0.7%
Other values (34) 97
 
9.5%
(Missing) 842
82.3%
ValueCountFrequency (%)
2 1
 
0.1%
2.7 2
0.2%
2.8 1
 
0.1%
2.9 3
0.3%
3.1 2
0.2%
ValueCountFrequency (%)
8.1 1
0.1%
7.4 1
0.1%
7.1 1
0.1%
7 2
0.2%
6.7 1
0.1%

tg_pp
Real number (ℝ)

MISSING 

Distinct160
Distinct (%)64.3%
Missing774
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean154.3975904
Minimum34
Maximum478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:22.834843image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile54.8
Q191
median129
Q3197
95-th percentile332
Maximum478
Range444
Interquartile range (IQR)106

Descriptive statistics

Standard deviation88.93481753
Coefficient of variation (CV)0.5760116937
Kurtosis2.066720686
Mean154.3975904
Median Absolute Deviation (MAD)48
Skewness1.384256468
Sum38445
Variance7909.401768
MonotonicityNot monotonic
2024-05-04T15:23:23.028562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109 4
 
0.4%
157 4
 
0.4%
114 4
 
0.4%
64 4
 
0.4%
104 4
 
0.4%
209 4
 
0.4%
108 4
 
0.4%
75 3
 
0.3%
168 3
 
0.3%
196 3
 
0.3%
Other values (150) 212
 
20.7%
(Missing) 774
75.7%
ValueCountFrequency (%)
34 2
0.2%
38 1
0.1%
40 1
0.1%
45 1
0.1%
48 1
0.1%
ValueCountFrequency (%)
478 1
0.1%
476 1
0.1%
468 1
0.1%
462 1
0.1%
434 1
0.1%

ct_pp
Real number (ℝ)

MISSING 

Distinct113
Distinct (%)45.0%
Missing772
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean185.2270916
Minimum79
Maximum368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:23.204564image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum79
5-th percentile130.5
Q1161
median185
Q3206
95-th percentile245.5
Maximum368
Range289
Interquartile range (IQR)45

Descriptive statistics

Standard deviation37.19989547
Coefficient of variation (CV)0.2008339879
Kurtosis2.439625383
Mean185.2270916
Median Absolute Deviation (MAD)22
Skewness0.6765959929
Sum46492
Variance1383.832223
MonotonicityNot monotonic
2024-05-04T15:23:23.376523image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206 7
 
0.7%
198 7
 
0.7%
185 7
 
0.7%
163 6
 
0.6%
179 6
 
0.6%
165 5
 
0.5%
159 5
 
0.5%
196 5
 
0.5%
213 4
 
0.4%
184 4
 
0.4%
Other values (103) 195
 
19.1%
(Missing) 772
75.5%
ValueCountFrequency (%)
79 1
 
0.1%
102 1
 
0.1%
111 1
 
0.1%
112 1
 
0.1%
115 3
0.3%
ValueCountFrequency (%)
368 1
0.1%
327 1
0.1%
289 1
0.1%
277 1
0.1%
257 1
0.1%

hdl_pp
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)23.9%
Missing772
Missing (%)75.5%
Infinite0
Infinite (%)0.0%
Mean46.30677291
Minimum10
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:23.552798image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile27
Q136.5
median46
Q355
95-th percentile68.5
Maximum89
Range79
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation13.2709274
Coefficient of variation (CV)0.2865871786
Kurtosis0.1901283882
Mean46.30677291
Median Absolute Deviation (MAD)9
Skewness0.3760525806
Sum11623
Variance176.1175139
MonotonicityNot monotonic
2024-05-04T15:23:23.776464image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51 12
 
1.2%
36 12
 
1.2%
41 11
 
1.1%
47 10
 
1.0%
31 9
 
0.9%
38 9
 
0.9%
50 8
 
0.8%
46 8
 
0.8%
44 8
 
0.8%
49 7
 
0.7%
Other values (50) 157
 
15.3%
(Missing) 772
75.5%
ValueCountFrequency (%)
10 1
0.1%
14 1
0.1%
20 1
0.1%
21 1
0.1%
22 1
0.1%
ValueCountFrequency (%)
89 1
0.1%
87 1
0.1%
79 2
0.2%
78 1
0.1%
76 2
0.2%

ldl_pp
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)43.4%
Missing804
Missing (%)78.6%
Infinite0
Infinite (%)0.0%
Mean109.9680365
Minimum41
Maximum272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:24.071038image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile69.8
Q191
median105
Q3128.5
95-th percentile155.3
Maximum272
Range231
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation30.73449309
Coefficient of variation (CV)0.2794856947
Kurtosis5.58695305
Mean109.9680365
Median Absolute Deviation (MAD)17
Skewness1.396721327
Sum24083
Variance944.6090654
MonotonicityNot monotonic
2024-05-04T15:23:24.325650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96 9
 
0.9%
89 7
 
0.7%
131 6
 
0.6%
91 6
 
0.6%
115 5
 
0.5%
111 5
 
0.5%
94 5
 
0.5%
99 5
 
0.5%
120 5
 
0.5%
77 4
 
0.4%
Other values (85) 162
 
15.8%
(Missing) 804
78.6%
ValueCountFrequency (%)
41 1
0.1%
48 1
0.1%
49 1
0.1%
53 1
0.1%
54 1
0.1%
ValueCountFrequency (%)
272 1
0.1%
267 1
0.1%
190 1
0.1%
186 1
0.1%
179 1
0.1%

apob_pp
Real number (ℝ)

MISSING 

Distinct124
Distinct (%)68.9%
Missing843
Missing (%)82.4%
Infinite0
Infinite (%)0.0%
Mean99.59055556
Minimum35
Maximum193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:24.511259image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile62.97
Q183.375
median99.45
Q3116
95-th percentile137.05
Maximum193
Range158
Interquartile range (IQR)32.625

Descriptive statistics

Standard deviation24.94211331
Coefficient of variation (CV)0.2504465727
Kurtosis0.5779023826
Mean99.59055556
Median Absolute Deviation (MAD)16.55
Skewness0.3402689356
Sum17926.3
Variance622.1090164
MonotonicityNot monotonic
2024-05-04T15:23:24.723382image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102 6
 
0.6%
101 5
 
0.5%
107 5
 
0.5%
116 5
 
0.5%
137 4
 
0.4%
110 4
 
0.4%
130 3
 
0.3%
103 3
 
0.3%
108 3
 
0.3%
122 3
 
0.3%
Other values (114) 139
 
13.6%
(Missing) 843
82.4%
ValueCountFrequency (%)
35 1
0.1%
45.3 1
0.1%
46.6 1
0.1%
49 1
0.1%
52.9 1
0.1%
ValueCountFrequency (%)
193 1
0.1%
166 1
0.1%
158 1
0.1%
152 1
0.1%
151 2
0.2%

lep_pp
Real number (ℝ)

MISSING 

Distinct218
Distinct (%)100.0%
Missing805
Missing (%)78.7%
Infinite0
Infinite (%)0.0%
Mean21.37729817
Minimum1.331
Maximum73.087
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:24.938312image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.331
5-th percentile5.2403
Q112.17625
median18.834
Q327.8275
95-th percentile43.16875
Maximum73.087
Range71.756
Interquartile range (IQR)15.65125

Descriptive statistics

Standard deviation12.78394147
Coefficient of variation (CV)0.5980148367
Kurtosis1.741500355
Mean21.37729817
Median Absolute Deviation (MAD)7.563
Skewness1.162315673
Sum4660.251
Variance163.4291596
MonotonicityNot monotonic
2024-05-04T15:23:25.153349image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.955 1
 
0.1%
19.546 1
 
0.1%
40.923 1
 
0.1%
18.808 1
 
0.1%
8.633 1
 
0.1%
8.443 1
 
0.1%
14.504 1
 
0.1%
73.087 1
 
0.1%
9.47 1
 
0.1%
5.341 1
 
0.1%
Other values (208) 208
 
20.3%
(Missing) 805
78.7%
ValueCountFrequency (%)
1.331 1
0.1%
2.104 1
0.1%
2.555 1
0.1%
2.65 1
0.1%
2.921 1
0.1%
ValueCountFrequency (%)
73.087 1
0.1%
69.244 1
0.1%
60.7 1
0.1%
56.384 1
0.1%
55.867 1
0.1%

adipo_pp
Real number (ℝ)

MISSING 

Distinct224
Distinct (%)99.6%
Missing798
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean9.370351111
Minimum2.183
Maximum27.378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:25.348972image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.183
5-th percentile4.5838
Q16.904
median8.718
Q311.246
95-th percentile15.6196
Maximum27.378
Range25.195
Interquartile range (IQR)4.342

Descriptive statistics

Standard deviation3.639860302
Coefficient of variation (CV)0.3884443879
Kurtosis3.130408105
Mean9.370351111
Median Absolute Deviation (MAD)2.009
Skewness1.258083709
Sum2108.329
Variance13.24858301
MonotonicityNot monotonic
2024-05-04T15:23:26.002325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.1 2
 
0.2%
13.551 1
 
0.1%
6.507 1
 
0.1%
12.475 1
 
0.1%
7.745 1
 
0.1%
10.122 1
 
0.1%
11.78 1
 
0.1%
12.601 1
 
0.1%
11.378 1
 
0.1%
7.911 1
 
0.1%
Other values (214) 214
 
20.9%
(Missing) 798
78.0%
ValueCountFrequency (%)
2.183 1
0.1%
2.296 1
0.1%
2.506 1
0.1%
2.624 1
0.1%
3.072 1
0.1%
ValueCountFrequency (%)
27.378 1
0.1%
22.086 1
0.1%
21.11 1
0.1%
21.042 1
0.1%
18.734 1
0.1%

pcr_pp
Real number (ℝ)

MISSING 

Distinct148
Distinct (%)85.1%
Missing849
Missing (%)83.0%
Infinite0
Infinite (%)0.0%
Mean104.5289253
Minimum0.268
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:26.213405image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.268
5-th percentile0.3801
Q10.89425
median2.075
Q35.61
95-th percentile999
Maximum999
Range998.732
Interquartile range (IQR)4.71575

Descriptive statistics

Standard deviation300.732431
Coefficient of variation (CV)2.877025954
Kurtosis5.004331201
Mean104.5289253
Median Absolute Deviation (MAD)1.4445
Skewness2.633157844
Sum18188.033
Variance90439.99508
MonotonicityNot monotonic
2024-05-04T15:23:26.424066image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
999 16
 
1.6%
1.53 4
 
0.4%
2.46 2
 
0.2%
1.26 2
 
0.2%
888 2
 
0.2%
3.14 2
 
0.2%
1.09 2
 
0.2%
1.08 2
 
0.2%
1.6 2
 
0.2%
0.943 2
 
0.2%
Other values (138) 138
 
13.5%
(Missing) 849
83.0%
ValueCountFrequency (%)
0.268 1
0.1%
0.271 1
0.1%
0.285 1
0.1%
0.294 1
0.1%
0.297 1
0.1%
ValueCountFrequency (%)
999 16
1.6%
888 2
 
0.2%
16.7 1
 
0.1%
9.6 1
 
0.1%
8.67 1
 
0.1%

pgn_pp
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)100.0%
Missing1003
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean4.7079
Minimum0.0885
Maximum35.296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:26.581436image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.0885
5-th percentile0.09116
Q10.17005
median0.60105
Q33.02495
95-th percentile22.6097
Maximum35.296
Range35.2075
Interquartile range (IQR)2.8549

Descriptive statistics

Standard deviation9.187490229
Coefficient of variation (CV)1.951504966
Kurtosis6.340033748
Mean4.7079
Median Absolute Deviation (MAD)0.49975
Skewness2.514760676
Sum94.158
Variance84.40997671
MonotonicityNot monotonic
2024-05-04T15:23:26.745314image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
35.296 1
 
0.1%
0.2194 1
 
0.1%
0.1089 1
 
0.1%
0.2896 1
 
0.1%
2.3656 1
 
0.1%
21.942 1
 
0.1%
5.003 1
 
0.1%
0.6221 1
 
0.1%
0.5871 1
 
0.1%
0.0913 1
 
0.1%
Other values (10) 10
 
1.0%
(Missing) 1003
98.0%
ValueCountFrequency (%)
0.0885 1
0.1%
0.0913 1
0.1%
0.0937 1
0.1%
0.1089 1
0.1%
0.1291 1
0.1%
ValueCountFrequency (%)
35.296 1
0.1%
21.942 1
0.1%
12.678 1
0.1%
11.101 1
0.1%
5.003 1
0.1%

e2_pp
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing1016
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean152.1687143
Minimum8.7315
Maximum803.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:26.893273image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum8.7315
5-th percentile10.45005
Q131.885
median49.8715
Q369.564
95-th percentile586.2769
Maximum803.68
Range794.9485
Interquartile range (IQR)37.679

Descriptive statistics

Standard deviation288.3501292
Coefficient of variation (CV)1.894937015
Kurtosis6.836828445
Mean152.1687143
Median Absolute Deviation (MAD)29.1315
Skewness2.604876746
Sum1065.181
Variance83145.79701
MonotonicityNot monotonic
2024-05-04T15:23:27.062193image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8.7315 1
 
0.1%
14.46 1
 
0.1%
49.31 1
 
0.1%
79.003 1
 
0.1%
60.125 1
 
0.1%
803.68 1
 
0.1%
49.8715 1
 
0.1%
(Missing) 1016
99.3%
ValueCountFrequency (%)
8.7315 1
0.1%
14.46 1
0.1%
49.31 1
0.1%
49.8715 1
0.1%
60.125 1
0.1%
ValueCountFrequency (%)
803.68 1
0.1%
79.003 1
0.1%
60.125 1
0.1%
49.8715 1
0.1%
49.31 1
0.1%

tiene_pareja
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.4%
Missing553
Missing (%)54.1%
Infinite0
Infinite (%)0.0%
Mean0.9276595745
Minimum0
Maximum1
Zeros34
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:27.242695image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2593267712
Coefficient of variation (CV)0.2795495011
Kurtosis9.009813926
Mean0.9276595745
Median Absolute Deviation (MAD)0
Skewness-3.312324273
Sum436
Variance0.06725037427
MonotonicityNot monotonic
2024-05-04T15:23:27.375594image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 436
42.6%
0 34
 
3.3%
(Missing) 553
54.1%
ValueCountFrequency (%)
0 34
 
3.3%
1 436
42.6%
ValueCountFrequency (%)
1 436
42.6%
0 34
 
3.3%

paciente_trabaja
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.5%
Missing607
Missing (%)59.3%
Infinite0
Infinite (%)0.0%
Mean0.5865384615
Minimum0
Maximum1
Zeros172
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:27.501909image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4930471162
Coefficient of variation (CV)0.8406049194
Kurtosis-1.884664947
Mean0.5865384615
Median Absolute Deviation (MAD)0
Skewness-0.3527310835
Sum244
Variance0.2430954588
MonotonicityNot monotonic
2024-05-04T15:23:27.639499image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 244
23.9%
0 172
 
16.8%
(Missing) 607
59.3%
ValueCountFrequency (%)
0 172
16.8%
1 244
23.9%
ValueCountFrequency (%)
1 244
23.9%
0 172
16.8%

escolaridad
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)1.5%
Missing571
Missing (%)55.8%
Infinite0
Infinite (%)0.0%
Mean3.336283186
Minimum0
Maximum6
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:27.774521image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q34
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.300592527
Coefficient of variation (CV)0.3898327734
Kurtosis-0.631507569
Mean3.336283186
Median Absolute Deviation (MAD)1
Skewness-0.04740301867
Sum1508
Variance1.691540922
MonotonicityNot monotonic
2024-05-04T15:23:27.919712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 152
 
14.9%
2 96
 
9.4%
3 90
 
8.8%
5 55
 
5.4%
1 37
 
3.6%
6 21
 
2.1%
0 1
 
0.1%
(Missing) 571
55.8%
ValueCountFrequency (%)
0 1
 
0.1%
1 37
 
3.6%
2 96
9.4%
3 90
8.8%
4 152
14.9%
ValueCountFrequency (%)
6 21
 
2.1%
5 55
 
5.4%
4 152
14.9%
3 90
8.8%
2 96
9.4%

no_cuartos
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)1.5%
Missing762
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean4.885057471
Minimum0
Maximum14
Zeros139
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:28.064351image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.632512667
Coefficient of variation (CV)1.153008475
Kurtosis-1.322055773
Mean4.885057471
Median Absolute Deviation (MAD)0
Skewness0.530858379
Sum1275
Variance31.72519894
MonotonicityNot monotonic
2024-05-04T15:23:28.197306image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 139
 
13.6%
8 70
 
6.8%
14 51
 
5.0%
1 1
 
0.1%
(Missing) 762
74.5%
ValueCountFrequency (%)
0 139
13.6%
1 1
 
0.1%
8 70
6.8%
14 51
 
5.0%
ValueCountFrequency (%)
14 51
 
5.0%
8 70
6.8%
1 1
 
0.1%
0 139
13.6%

no_banos
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)1.9%
Missing763
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean12.58461538
Minimum0
Maximum48
Zeros21
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:28.341058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113
median13
Q313
95-th percentile13
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.768754361
Coefficient of variation (CV)0.4583973514
Kurtosis17.38922703
Mean12.58461538
Median Absolute Deviation (MAD)0
Skewness2.327710327
Sum3272
Variance33.27852688
MonotonicityNot monotonic
2024-05-04T15:23:28.471836image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
13 231
 
22.6%
0 21
 
2.1%
31 4
 
0.4%
48 3
 
0.3%
1 1
 
0.1%
(Missing) 763
74.6%
ValueCountFrequency (%)
0 21
 
2.1%
1 1
 
0.1%
13 231
22.6%
31 4
 
0.4%
48 3
 
0.3%
ValueCountFrequency (%)
48 3
 
0.3%
31 4
 
0.4%
13 231
22.6%
1 1
 
0.1%
0 21
 
2.1%

regadera
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)1.5%
Missing763
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean8.388461538
Minimum0
Maximum15
Zeros43
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:28.591095image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median10
Q310
95-th percentile10
Maximum15
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.763144471
Coefficient of variation (CV)0.4486096114
Kurtosis1.24407502
Mean8.388461538
Median Absolute Deviation (MAD)0
Skewness-1.752359771
Sum2181
Variance14.16125631
MonotonicityNot monotonic
2024-05-04T15:23:28.724893image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
10 214
 
20.9%
0 43
 
4.2%
13 2
 
0.2%
15 1
 
0.1%
(Missing) 763
74.6%
ValueCountFrequency (%)
0 43
 
4.2%
10 214
20.9%
13 2
 
0.2%
15 1
 
0.1%
ValueCountFrequency (%)
15 1
 
0.1%
13 2
 
0.2%
10 214
20.9%
0 43
 
4.2%

no_focos
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)1.9%
Missing763
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean13.91538462
Minimum0
Maximum46
Zeros74
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:28.852614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15
Q315
95-th percentile32
Maximum46
Range46
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.17535527
Coefficient of variation (CV)0.8030935244
Kurtosis0.5731624589
Mean13.91538462
Median Absolute Deviation (MAD)0
Skewness0.627799673
Sum3618
Variance124.8885655
MonotonicityNot monotonic
2024-05-04T15:23:29.016217image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
15 135
 
13.2%
0 74
 
7.2%
27 33
 
3.2%
32 9
 
0.9%
46 9
 
0.9%
(Missing) 763
74.6%
ValueCountFrequency (%)
0 74
7.2%
15 135
13.2%
27 33
 
3.2%
32 9
 
0.9%
46 9
 
0.9%
ValueCountFrequency (%)
46 9
 
0.9%
32 9
 
0.9%
27 33
 
3.2%
15 135
13.2%
0 74
7.2%

piso_hogar
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.8%
Missing763
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean5.373076923
Minimum0
Maximum11
Zeros133
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:29.249666image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.509140015
Coefficient of variation (CV)1.025323124
Kurtosis-2.013391328
Mean5.373076923
Median Absolute Deviation (MAD)0
Skewness0.04643446215
Sum1397
Variance30.3506237
MonotonicityNot monotonic
2024-05-04T15:23:29.466896image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 133
 
13.0%
11 127
 
12.4%
(Missing) 763
74.6%
ValueCountFrequency (%)
0 133
13.0%
11 127
12.4%
ValueCountFrequency (%)
11 127
12.4%
0 133
13.0%

no_autos
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)1.5%
Missing763
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean9.3
Minimum0
Maximum58
Zeros167
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:29.613597image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q322
95-th percentile41
Maximum58
Range58
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.67134929
Coefficient of variation (CV)1.470037558
Kurtosis1.2485181
Mean9.3
Median Absolute Deviation (MAD)0
Skewness1.321207219
Sum2418
Variance186.9057915
MonotonicityNot monotonic
2024-05-04T15:23:29.746984image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 167
 
16.3%
22 77
 
7.5%
41 12
 
1.2%
58 4
 
0.4%
(Missing) 763
74.6%
ValueCountFrequency (%)
0 167
16.3%
22 77
7.5%
41 12
 
1.2%
58 4
 
0.4%
ValueCountFrequency (%)
58 4
 
0.4%
41 12
 
1.2%
22 77
7.5%
0 167
16.3%

no_tv
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)1.9%
Missing763
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean36.14615385
Minimum0
Maximum58
Zeros8
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:29.879403image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q126
median26
Q344
95-th percentile58
Maximum58
Range58
Interquartile range (IQR)18

Descriptive statistics

Standard deviation13.91402811
Coefficient of variation (CV)0.3849379983
Kurtosis-0.2450147962
Mean36.14615385
Median Absolute Deviation (MAD)18
Skewness-0.08547873179
Sum9398
Variance193.6001782
MonotonicityNot monotonic
2024-05-04T15:23:30.016226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
26 125
 
12.2%
44 83
 
8.1%
58 43
 
4.2%
0 8
 
0.8%
2 1
 
0.1%
(Missing) 763
74.6%
ValueCountFrequency (%)
0 8
 
0.8%
2 1
 
0.1%
26 125
12.2%
44 83
8.1%
58 43
 
4.2%
ValueCountFrequency (%)
58 43
 
4.2%
44 83
8.1%
26 125
12.2%
2 1
 
0.1%
0 8
 
0.8%

no_computador
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)1.5%
Missing763
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean10.73461538
Minimum0
Maximum29
Zeros126
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:30.145018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17
Q317
95-th percentile29
Maximum29
Range29
Interquartile range (IQR)17

Descriptive statistics

Standard deviation11.1737227
Coefficient of variation (CV)1.040905734
Kurtosis-1.376591016
Mean10.73461538
Median Absolute Deviation (MAD)12
Skewness0.351476006
Sum2791
Variance124.852079
MonotonicityNot monotonic
2024-05-04T15:23:30.280656image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 126
 
12.3%
17 91
 
8.9%
29 42
 
4.1%
26 1
 
0.1%
(Missing) 763
74.6%
ValueCountFrequency (%)
0 126
12.3%
17 91
8.9%
26 1
 
0.1%
29 42
 
4.1%
ValueCountFrequency (%)
29 42
 
4.1%
26 1
 
0.1%
17 91
8.9%
0 126
12.3%

estufa
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.8%
Missing763
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean17.92307692
Minimum0
Maximum20
Zeros27
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:30.415933image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median20
Q320
95-th percentile20
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.112984326
Coefficient of variation (CV)0.341067795
Kurtosis4.861486047
Mean17.92307692
Median Absolute Deviation (MAD)0
Skewness-2.612307082
Sum4660
Variance37.36857737
MonotonicityNot monotonic
2024-05-04T15:23:30.563151image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
20 233
 
22.8%
0 27
 
2.6%
(Missing) 763
74.6%
ValueCountFrequency (%)
0 27
 
2.6%
20 233
22.8%
ValueCountFrequency (%)
20 233
22.8%
0 27
 
2.6%

estudio_max
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)1.9%
Missing764
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean35.25868726
Minimum0
Maximum72
Zeros27
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:30.706633image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122
median38
Q352
95-th percentile72
Maximum72
Range72
Interquartile range (IQR)30

Descriptive statistics

Standard deviation18.35330145
Coefficient of variation (CV)0.5205327504
Kurtosis-0.2975522357
Mean35.25868726
Median Absolute Deviation (MAD)14
Skewness-0.1557132247
Sum9132
Variance336.8436742
MonotonicityNot monotonic
2024-05-04T15:23:30.855493image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
38 78
 
7.6%
22 72
 
7.0%
52 66
 
6.5%
0 27
 
2.6%
72 16
 
1.6%
(Missing) 764
74.7%
ValueCountFrequency (%)
0 27
 
2.6%
22 72
7.0%
38 78
7.6%
52 66
6.5%
72 16
 
1.6%
ValueCountFrequency (%)
72 16
 
1.6%
52 66
6.5%
38 78
7.6%
22 72
7.0%
0 27
 
2.6%

puntos_ses
Real number (ℝ)

MISSING 

Distinct135
Distinct (%)52.1%
Missing764
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean154.5212355
Minimum11
Maximum349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:31.054727image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile64
Q1103
median157
Q3202
95-th percentile256
Maximum349
Range338
Interquartile range (IQR)99

Descriptive statistics

Standard deviation65.22354622
Coefficient of variation (CV)0.4221008588
Kurtosis-0.3414216531
Mean154.5212355
Median Absolute Deviation (MAD)51
Skewness0.286558616
Sum40021
Variance4254.110981
MonotonicityNot monotonic
2024-05-04T15:23:31.271712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106 13
 
1.3%
84 9
 
0.9%
157 6
 
0.6%
86 6
 
0.6%
81 5
 
0.5%
107 5
 
0.5%
212 5
 
0.5%
204 5
 
0.5%
64 5
 
0.5%
176 4
 
0.4%
Other values (125) 196
 
19.2%
(Missing) 764
74.7%
ValueCountFrequency (%)
11 1
0.1%
20 1
0.1%
23 1
0.1%
26 1
0.1%
37 1
0.1%
ValueCountFrequency (%)
349 1
0.1%
329 1
0.1%
318 1
0.1%
316 1
0.1%
311 1
0.1%

nivel_ses
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)2.3%
Missing764
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean3.621621622
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:31.445310image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.370959771
Coefficient of variation (CV)0.3785485935
Kurtosis-0.8828015642
Mean3.621621622
Median Absolute Deviation (MAD)1
Skewness0.08864905076
Sum938
Variance1.879530693
MonotonicityNot monotonic
2024-05-04T15:23:31.600363image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 64
 
6.3%
4 59
 
5.8%
2 51
 
5.0%
5 47
 
4.6%
6 27
 
2.6%
1 11
 
1.1%
(Missing) 764
74.7%
ValueCountFrequency (%)
1 11
 
1.1%
2 51
5.0%
3 64
6.3%
4 59
5.8%
5 47
4.6%
ValueCountFrequency (%)
6 27
2.6%
5 47
4.6%
4 59
5.8%
3 64
6.3%
2 51
5.0%

ins_seg
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing1015
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean18.475
Minimum8.2
Maximum61.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:31.741523image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum8.2
5-th percentile8.445
Q18.975
median11.1
Q317.025
95-th percentile48.02
Maximum61.6
Range53.4
Interquartile range (IQR)8.05

Descriptive statistics

Standard deviation18.09852007
Coefficient of variation (CV)0.9796221957
Kurtosis6.268704179
Mean18.475
Median Absolute Deviation (MAD)2.55
Skewness2.456972381
Sum147.8
Variance327.5564286
MonotonicityNot monotonic
2024-05-04T15:23:31.882922image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
9 1
 
0.1%
61.6 1
 
0.1%
13 1
 
0.1%
8.2 1
 
0.1%
22.8 1
 
0.1%
9.2 1
 
0.1%
15.1 1
 
0.1%
8.9 1
 
0.1%
(Missing) 1015
99.2%
ValueCountFrequency (%)
8.2 1
0.1%
8.9 1
0.1%
9 1
0.1%
9.2 1
0.1%
13 1
0.1%
ValueCountFrequency (%)
61.6 1
0.1%
22.8 1
0.1%
15.1 1
0.1%
13 1
0.1%
9.2 1
0.1%

glu_seg
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing1015
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean99.375
Minimum75
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:32.016000image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum75
5-th percentile80.25
Q190.75
median96
Q3104
95-th percentile125.75
Maximum131
Range56
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation17.12089367
Coefficient of variation (CV)0.1722857224
Kurtosis0.8563535744
Mean99.375
Median Absolute Deviation (MAD)5.5
Skewness0.768735439
Sum795
Variance293.125
MonotonicityNot monotonic
2024-05-04T15:23:32.152097image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
96 2
 
0.2%
131 1
 
0.1%
75 1
 
0.1%
100 1
 
0.1%
116 1
 
0.1%
91 1
 
0.1%
90 1
 
0.1%
(Missing) 1015
99.2%
ValueCountFrequency (%)
75 1
0.1%
90 1
0.1%
91 1
0.1%
96 2
0.2%
100 1
0.1%
ValueCountFrequency (%)
131 1
0.1%
116 1
0.1%
100 1
0.1%
96 2
0.2%
91 1
0.1%

tg_seg
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing1015
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean166.75
Minimum85
Maximum258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:32.286982image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum85
5-th percentile94.1
Q1145.5
median170.5
Q3187.5
95-th percentile237
Maximum258
Range173
Interquartile range (IQR)42

Descriptive statistics

Standard deviation53.09761899
Coefficient of variation (CV)0.3184265007
Kurtosis0.4808653375
Mean166.75
Median Absolute Deviation (MAD)20.5
Skewness0.09860120747
Sum1334
Variance2819.357143
MonotonicityNot monotonic
2024-05-04T15:23:32.419776image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
157 1
 
0.1%
85 1
 
0.1%
160 1
 
0.1%
111 1
 
0.1%
181 1
 
0.1%
184 1
 
0.1%
198 1
 
0.1%
258 1
 
0.1%
(Missing) 1015
99.2%
ValueCountFrequency (%)
85 1
0.1%
111 1
0.1%
157 1
0.1%
160 1
0.1%
181 1
0.1%
ValueCountFrequency (%)
258 1
0.1%
198 1
0.1%
184 1
0.1%
181 1
0.1%
160 1
0.1%

ct_seg
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing1015
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean183
Minimum140
Maximum212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:32.555967image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile141.05
Q1152
median200
Q3206
95-th percentile210.95
Maximum212
Range72
Interquartile range (IQR)54

Descriptive statistics

Standard deviation31.26842314
Coefficient of variation (CV)0.1708657002
Kurtosis-1.953560811
Mean183
Median Absolute Deviation (MAD)10.5
Skewness-0.631697723
Sum1464
Variance977.7142857
MonotonicityNot monotonic
2024-05-04T15:23:32.698758image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
204 1
 
0.1%
140 1
 
0.1%
143 1
 
0.1%
155 1
 
0.1%
205 1
 
0.1%
209 1
 
0.1%
196 1
 
0.1%
212 1
 
0.1%
(Missing) 1015
99.2%
ValueCountFrequency (%)
140 1
0.1%
143 1
0.1%
155 1
0.1%
196 1
0.1%
204 1
0.1%
ValueCountFrequency (%)
212 1
0.1%
209 1
0.1%
205 1
0.1%
204 1
0.1%
196 1
0.1%

hdl_seg
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing1015
Missing (%)99.2%
Infinite0
Infinite (%)0.0%
Mean49.5
Minimum36
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:32.835535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile38.1
Q145
median48
Q353
95-th percentile63.3
Maximum64
Range28
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.426406678
Coefficient of variation (CV)0.1904324581
Kurtosis-0.3336111082
Mean49.5
Median Absolute Deviation (MAD)4
Skewness0.4707307023
Sum396
Variance88.85714286
MonotonicityNot monotonic
2024-05-04T15:23:32.980567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
48 2
 
0.2%
46 1
 
0.1%
36 1
 
0.1%
50 1
 
0.1%
42 1
 
0.1%
64 1
 
0.1%
62 1
 
0.1%
(Missing) 1015
99.2%
ValueCountFrequency (%)
36 1
0.1%
42 1
0.1%
46 1
0.1%
48 2
0.2%
50 1
0.1%
ValueCountFrequency (%)
64 1
0.1%
62 1
0.1%
50 1
0.1%
48 2
0.2%
46 1
0.1%

ldl_seg
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)85.7%
Missing1016
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean102
Minimum61
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:33.122464image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile68.2
Q188.5
median98
Q3125.5
95-th percentile127
Maximum127
Range66
Interquartile range (IQR)37

Descriptive statistics

Standard deviation25.23225449
Coefficient of variation (CV)0.247375044
Kurtosis-0.8696458979
Mean102
Median Absolute Deviation (MAD)26
Skewness-0.4793166953
Sum714
Variance636.6666667
MonotonicityNot monotonic
2024-05-04T15:23:33.267613image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
127 2
 
0.2%
61 1
 
0.1%
85 1
 
0.1%
124 1
 
0.1%
92 1
 
0.1%
98 1
 
0.1%
(Missing) 1016
99.3%
ValueCountFrequency (%)
61 1
0.1%
85 1
0.1%
92 1
0.1%
98 1
0.1%
124 1
0.1%
ValueCountFrequency (%)
127 2
0.2%
124 1
0.1%
98 1
0.1%
92 1
0.1%
85 1
0.1%

Fecha_ev1
Text

MISSING 

Distinct49
Distinct (%)79.0%
Missing961
Missing (%)93.9%
Memory size8.1 KiB
2024-05-04T15:23:33.510363image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.419354839
Min length9

Characters and Unicode

Total characters584
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)64.5%

Sample

1st row3/20/2012
2nd row2/29/2012
3rd row9/28/2012
4th row5/14/2012
5th row 3/5/2012
ValueCountFrequency (%)
7/2/2012 5
 
8.1%
1/31/2012 3
 
4.8%
8/2/2012 2
 
3.2%
10/2/2012 2
 
3.2%
3/2/2012 2
 
3.2%
2/29/2012 2
 
3.2%
7/30/2012 2
 
3.2%
6/12/2012 2
 
3.2%
2/28/2012 2
 
3.2%
7/31/2012 1
 
1.6%
Other values (39) 39
62.9%
2024-05-04T15:23:33.939394image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 165
28.3%
/ 124
21.2%
1 97
16.6%
0 75
12.8%
41
 
7.0%
3 25
 
4.3%
7 18
 
3.1%
8 14
 
2.4%
5 8
 
1.4%
9 7
 
1.2%
Other values (2) 10
 
1.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 584
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 165
28.3%
/ 124
21.2%
1 97
16.6%
0 75
12.8%
41
 
7.0%
3 25
 
4.3%
7 18
 
3.1%
8 14
 
2.4%
5 8
 
1.4%
9 7
 
1.2%
Other values (2) 10
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 584
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 165
28.3%
/ 124
21.2%
1 97
16.6%
0 75
12.8%
41
 
7.0%
3 25
 
4.3%
7 18
 
3.1%
8 14
 
2.4%
5 8
 
1.4%
9 7
 
1.2%
Other values (2) 10
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 584
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 165
28.3%
/ 124
21.2%
1 97
16.6%
0 75
12.8%
41
 
7.0%
3 25
 
4.3%
7 18
 
3.1%
8 14
 
2.4%
5 8
 
1.4%
9 7
 
1.2%
Other values (2) 10
 
1.7%

SDG_ev1
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)58.1%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean18.00354839
Minimum4
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:34.126680image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.625
Q18.7
median22
Q326.2175
95-th percentile29.975
Maximum31
Range27
Interquartile range (IQR)17.5175

Descriptive statistics

Standard deviation9.346655595
Coefficient of variation (CV)0.5191563015
Kurtosis-1.834885557
Mean18.00354839
Median Absolute Deviation (MAD)8.35
Skewness-0.04337003948
Sum1116.22
Variance87.35997081
MonotonicityNot monotonic
2024-05-04T15:23:34.295536image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
26 7
 
0.7%
24 4
 
0.4%
8 4
 
0.4%
28 3
 
0.3%
9 3
 
0.3%
30 3
 
0.3%
29 3
 
0.3%
6.6 2
 
0.2%
7.1 2
 
0.2%
25 2
 
0.2%
Other values (26) 29
 
2.8%
(Missing) 961
93.9%
ValueCountFrequency (%)
4 1
0.1%
5 1
0.1%
6.6 2
0.2%
7.1 2
0.2%
7.2 1
0.1%
ValueCountFrequency (%)
31 1
 
0.1%
30 3
0.3%
29.5 1
 
0.1%
29 3
0.3%
28.2 2
0.2%

trimestre_ev1
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)4.8%
Missing960
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean1.936507937
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:34.427287image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.931059332
Coefficient of variation (CV)0.4807929338
Kurtosis-1.867202302
Mean1.936507937
Median Absolute Deviation (MAD)1
Skewness0.129064746
Sum122
Variance0.8668714798
MonotonicityNot monotonic
2024-05-04T15:23:34.567223image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 29
 
2.8%
3 25
 
2.4%
2 9
 
0.9%
(Missing) 960
93.8%
ValueCountFrequency (%)
1 29
2.8%
2 9
 
0.9%
3 25
2.4%
ValueCountFrequency (%)
3 25
2.4%
2 9
 
0.9%
1 29
2.8%

Edad_ev1
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)37.1%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean26.82258065
Minimum16
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:34.734241image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile17.05
Q121
median27
Q332
95-th percentile37.95
Maximum42
Range26
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.70092774
Coefficient of variation (CV)0.249824125
Kurtosis-0.9389088456
Mean26.82258065
Median Absolute Deviation (MAD)6
Skewness0.2013966682
Sum1663
Variance44.90243258
MonotonicityNot monotonic
2024-05-04T15:23:34.905434image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
30 7
 
0.7%
21 5
 
0.5%
27 5
 
0.5%
33 4
 
0.4%
18 4
 
0.4%
17 3
 
0.3%
28 3
 
0.3%
20 3
 
0.3%
19 3
 
0.3%
24 3
 
0.3%
Other values (13) 22
 
2.2%
(Missing) 961
93.9%
ValueCountFrequency (%)
16 1
 
0.1%
17 3
0.3%
18 4
0.4%
19 3
0.3%
20 3
0.3%
ValueCountFrequency (%)
42 1
 
0.1%
39 1
 
0.1%
38 2
0.2%
37 1
 
0.1%
36 3
0.3%

Peso_pg
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)54.8%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean61.88064516
Minimum42
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:35.070931image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile44.675
Q154.625
median63
Q368.875
95-th percentile76.9
Maximum84
Range42
Interquartile range (IQR)14.25

Descriptive statistics

Standard deviation9.712841571
Coefficient of variation (CV)0.156960897
Kurtosis-0.5272139613
Mean61.88064516
Median Absolute Deviation (MAD)7
Skewness-0.04421418894
Sum3836.6
Variance94.33929138
MonotonicityNot monotonic
2024-05-04T15:23:35.248902image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
63 4
 
0.4%
60 4
 
0.4%
61 4
 
0.4%
65 3
 
0.3%
50 3
 
0.3%
70 3
 
0.3%
75 3
 
0.3%
74 2
 
0.2%
58 2
 
0.2%
71 2
 
0.2%
Other values (24) 32
 
3.1%
(Missing) 961
93.9%
ValueCountFrequency (%)
42 1
0.1%
43 1
0.1%
44.5 2
0.2%
48 1
0.1%
49.8 1
0.1%
ValueCountFrequency (%)
84 1
 
0.1%
80 1
 
0.1%
78 1
 
0.1%
77 1
 
0.1%
75 3
0.3%

Talla_ev1
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)52.5%
Missing962
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean1.583918033
Minimum1.46
Maximum1.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:35.413793image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.46
5-th percentile1.49
Q11.545
median1.59
Q31.63
95-th percentile1.67
Maximum1.68
Range0.22
Interquartile range (IQR)0.085

Descriptive statistics

Standard deviation0.05601883465
Coefficient of variation (CV)0.03536725607
Kurtosis-0.7803521346
Mean1.583918033
Median Absolute Deviation (MAD)0.04
Skewness-0.2542564999
Sum96.619
Variance0.003138109836
MonotonicityNot monotonic
2024-05-04T15:23:35.572593image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1.65 7
 
0.7%
1.6 7
 
0.7%
1.55 4
 
0.4%
1.63 3
 
0.3%
1.59 3
 
0.3%
1.62 3
 
0.3%
1.56 2
 
0.2%
1.67 2
 
0.2%
1.545 2
 
0.2%
1.68 2
 
0.2%
Other values (22) 26
 
2.5%
(Missing) 962
94.0%
ValueCountFrequency (%)
1.46 1
0.1%
1.48 2
0.2%
1.49 1
0.1%
1.495 1
0.1%
1.5 2
0.2%
ValueCountFrequency (%)
1.68 2
 
0.2%
1.67 2
 
0.2%
1.65 7
0.7%
1.64 1
 
0.1%
1.637 1
 
0.1%

IMC_pg
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)98.4%
Missing962
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean24.79951323
Minimum18.01
Maximum37.583472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:35.735953image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum18.01
5-th percentile19.051974
Q122.0692
median24.609375
Q327.27
95-th percentile29.136316
Maximum37.583472
Range19.573472
Interquartile range (IQR)5.2008

Descriptive statistics

Standard deviation3.819896561
Coefficient of variation (CV)0.1540311105
Kurtosis0.9012629081
Mean24.79951323
Median Absolute Deviation (MAD)2.660625
Skewness0.4887399383
Sum1512.770307
Variance14.59160974
MonotonicityNot monotonic
2024-05-04T15:23:35.934652image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.39 2
 
0.2%
23.83 1
 
0.1%
19.453125 1
 
0.1%
24.609375 1
 
0.1%
21.91 1
 
0.1%
37.583472 1
 
0.1%
25.135891 1
 
0.1%
28.507528 1
 
0.1%
26.576915 1
 
0.1%
18.37 1
 
0.1%
Other values (50) 50
 
4.9%
(Missing) 962
94.0%
ValueCountFrequency (%)
18.01 1
0.1%
18.37 1
0.1%
18.522373 1
0.1%
19.051974 1
0.1%
19.1 1
0.1%
ValueCountFrequency (%)
37.583472 1
0.1%
32.888889 1
0.1%
31.56 1
0.1%
29.136316 1
0.1%
29.09 1
0.1%

Clasif_imc
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)4.9%
Missing962
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean1.557377049
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:36.106592image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5923003226
Coefficient of variation (CV)0.3803191545
Kurtosis-0.6171390834
Mean1.557377049
Median Absolute Deviation (MAD)1
Skewness0.5174914882
Sum95
Variance0.3508196721
MonotonicityNot monotonic
2024-05-04T15:23:36.263004image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 30
 
2.9%
2 28
 
2.7%
3 3
 
0.3%
(Missing) 962
94.0%
ValueCountFrequency (%)
1 30
2.9%
2 28
2.7%
3 3
 
0.3%
ValueCountFrequency (%)
3 3
 
0.3%
2 28
2.7%
1 30
2.9%

peso_1ertrim
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)79.6%
Missing969
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean63.40925926
Minimum42.3
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:36.438446image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum42.3
5-th percentile46.88
Q156.125
median64.7
Q369.625
95-th percentile77.46
Maximum82
Range39.7
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation9.360722205
Coefficient of variation (CV)0.1476239009
Kurtosis-0.3938170781
Mean63.40925926
Median Absolute Deviation (MAD)6.8
Skewness-0.2205747661
Sum3424.1
Variance87.6231202
MonotonicityNot monotonic
2024-05-04T15:23:36.634110image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
65 4
 
0.4%
56 3
 
0.3%
52 3
 
0.3%
59 2
 
0.2%
63 2
 
0.2%
72.6 2
 
0.2%
67 2
 
0.2%
51.5 1
 
0.1%
79.8 1
 
0.1%
75.3 1
 
0.1%
Other values (33) 33
 
3.2%
(Missing) 969
94.7%
ValueCountFrequency (%)
42.3 1
0.1%
44.7 1
0.1%
44.8 1
0.1%
48 1
0.1%
51.5 1
0.1%
ValueCountFrequency (%)
82 1
0.1%
80.6 1
0.1%
79.8 1
0.1%
76.2 1
0.1%
75.3 1
0.1%

Ganancia_1ertrim
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)60.4%
Missing970
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean1.050943396
Minimum-10
Maximum7.6
Zeros4
Zeros (%)0.4%
Negative11
Negative (%)1.1%
Memory size8.1 KiB
2024-05-04T15:23:36.810297image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile-3.2
Q10
median1.2
Q32
95-th percentile5.44
Maximum7.6
Range17.6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.846294666
Coefficient of variation (CV)2.70832347
Kurtosis3.654339017
Mean1.050943396
Median Absolute Deviation (MAD)1.2
Skewness-0.9371732478
Sum55.7
Variance8.101393324
MonotonicityNot monotonic
2024-05-04T15:23:36.977506image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
2 9
 
0.9%
0 4
 
0.4%
1 3
 
0.3%
-2 3
 
0.3%
3 3
 
0.3%
0.3 2
 
0.2%
1.1 2
 
0.2%
-3 2
 
0.2%
1.6 2
 
0.2%
0.7 1
 
0.1%
Other values (22) 22
 
2.2%
(Missing) 970
94.8%
ValueCountFrequency (%)
-10 1
 
0.1%
-4.2 1
 
0.1%
-3.5 1
 
0.1%
-3 2
0.2%
-2 3
0.3%
ValueCountFrequency (%)
7.6 1
0.1%
6.2 1
0.1%
5.8 1
0.1%
5.2 1
0.1%
5 1
0.1%

Peso_2otrim
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)78.9%
Missing985
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean66.48421053
Minimum42
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:37.160987image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile50.7
Q161.575
median66.35
Q373
95-th percentile78.3
Maximum87
Range45
Interquartile range (IQR)11.425

Descriptive statistics

Standard deviation9.079067886
Coefficient of variation (CV)0.1365597608
Kurtosis0.6207325497
Mean66.48421053
Median Absolute Deviation (MAD)6.5
Skewness-0.4341413564
Sum2526.4
Variance82.42947368
MonotonicityNot monotonic
2024-05-04T15:23:37.324226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
73 3
 
0.3%
66 3
 
0.3%
64.5 2
 
0.2%
76 2
 
0.2%
75 2
 
0.2%
72 2
 
0.2%
56.3 1
 
0.1%
60 1
 
0.1%
55 1
 
0.1%
49 1
 
0.1%
Other values (20) 20
 
2.0%
(Missing) 985
96.3%
ValueCountFrequency (%)
42 1
0.1%
49 1
0.1%
51 1
0.1%
55 1
0.1%
55.5 1
0.1%
ValueCountFrequency (%)
87 1
0.1%
80 1
0.1%
78 1
0.1%
76 2
0.2%
75.2 1
0.1%

Ganancia_2otrim
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)56.8%
Missing986
Missing (%)96.4%
Infinite0
Infinite (%)0.0%
Mean5.072972973
Minimum-5
Maximum13.3
Zeros4
Zeros (%)0.4%
Negative1
Negative (%)0.1%
Memory size8.1 KiB
2024-05-04T15:23:37.468601image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-5
5-th percentile0
Q12
median5
Q37
95-th percentile12
Maximum13.3
Range18.3
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.055698916
Coefficient of variation (CV)0.7994718161
Kurtosis-0.1281279306
Mean5.072972973
Median Absolute Deviation (MAD)3
Skewness-0.003255100388
Sum187.7
Variance16.44869369
MonotonicityNot monotonic
2024-05-04T15:23:37.619786image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
5 4
 
0.4%
2 4
 
0.4%
0 4
 
0.4%
7 3
 
0.3%
6 3
 
0.3%
1.2 2
 
0.2%
10 2
 
0.2%
12 2
 
0.2%
4 1
 
0.1%
9 1
 
0.1%
Other values (11) 11
 
1.1%
(Missing) 986
96.4%
ValueCountFrequency (%)
-5 1
 
0.1%
0 4
0.4%
1.2 2
0.2%
1.7 1
 
0.1%
2 4
0.4%
ValueCountFrequency (%)
13.3 1
0.1%
12 2
0.2%
10.5 1
0.1%
10 2
0.2%
9.5 1
0.1%

Peso_3ertrim
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)92.3%
Missing1010
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean67.01538462
Minimum50
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:38.230171image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile53
Q159.7
median67
Q376
95-th percentile82.8
Maximum84
Range34
Interquartile range (IQR)16.3

Descriptive statistics

Standard deviation10.6126376
Coefficient of variation (CV)0.1583612131
Kurtosis-0.9128488682
Mean67.01538462
Median Absolute Deviation (MAD)9
Skewness0.07876765532
Sum871.2
Variance112.6280769
MonotonicityNot monotonic
2024-05-04T15:23:38.376350image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
55 2
 
0.2%
76 1
 
0.1%
59.7 1
 
0.1%
67 1
 
0.1%
76.5 1
 
0.1%
70 1
 
0.1%
62 1
 
0.1%
84 1
 
0.1%
50 1
 
0.1%
68 1
 
0.1%
Other values (2) 2
 
0.2%
(Missing) 1010
98.7%
ValueCountFrequency (%)
50 1
0.1%
55 2
0.2%
59.7 1
0.1%
62 1
0.1%
66 1
0.1%
ValueCountFrequency (%)
84 1
0.1%
82 1
0.1%
76.5 1
0.1%
76 1
0.1%
70 1
0.1%

Ganancia_3ertrim
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)61.5%
Missing1010
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean4.853846154
Minimum1.7
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:38.522114image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.7
5-th percentile1.7
Q12
median5
Q37
95-th percentile8.8
Maximum10
Range8.3
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.683162122
Coefficient of variation (CV)0.5527909285
Kurtosis-0.7146228143
Mean4.853846154
Median Absolute Deviation (MAD)2
Skewness0.3574409012
Sum63.1
Variance7.199358974
MonotonicityNot monotonic
2024-05-04T15:23:38.647281image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1.7 3
 
0.3%
4 2
 
0.2%
5 2
 
0.2%
7 2
 
0.2%
2 1
 
0.1%
10 1
 
0.1%
8 1
 
0.1%
6 1
 
0.1%
(Missing) 1010
98.7%
ValueCountFrequency (%)
1.7 3
0.3%
2 1
 
0.1%
4 2
0.2%
5 2
0.2%
6 1
 
0.1%
ValueCountFrequency (%)
10 1
0.1%
8 1
0.1%
7 2
0.2%
6 1
0.1%
5 2
0.2%

Peso_actual
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)82.0%
Missing962
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean65.66393443
Minimum44.8
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:38.809650image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum44.8
5-th percentile51
Q159.7
median66.2
Q372
95-th percentile80.6
Maximum87
Range42.2
Interquartile range (IQR)12.3

Descriptive statistics

Standard deviation9.302079208
Coefficient of variation (CV)0.1416619228
Kurtosis-0.3718400939
Mean65.66393443
Median Absolute Deviation (MAD)6.2
Skewness-0.07068893519
Sum4005.5
Variance86.5286776
MonotonicityNot monotonic
2024-05-04T15:23:38.992170image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 3
 
0.3%
73 2
 
0.2%
70 2
 
0.2%
66.5 2
 
0.2%
65 2
 
0.2%
55 2
 
0.2%
64.5 2
 
0.2%
66.2 2
 
0.2%
75.2 2
 
0.2%
52 2
 
0.2%
Other values (40) 40
 
3.9%
(Missing) 962
94.0%
ValueCountFrequency (%)
44.8 1
0.1%
49 1
0.1%
50 1
0.1%
51 1
0.1%
51.5 1
0.1%
ValueCountFrequency (%)
87 1
0.1%
84 1
0.1%
82 1
0.1%
80.6 1
0.1%
79.8 1
0.1%

GER
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)100.0%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean1089.735192
Minimum832.79405
Maximum1374.5537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:39.169078image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum832.79405
5-th percentile863.6234855
Q1977.2384325
median1100.95775
Q31183.344475
95-th percentile1305.86054
Maximum1374.5537
Range541.75965
Interquartile range (IQR)206.1060425

Descriptive statistics

Standard deviation133.9901055
Coefficient of variation (CV)0.1229565738
Kurtosis-0.6657009785
Mean1089.735192
Median Absolute Deviation (MAD)101.46165
Skewness0.06077477345
Sum65384.11149
Variance17953.34838
MonotonicityNot monotonic
2024-05-04T15:23:39.369316image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
851.68 1
 
0.1%
932.06117 1
 
0.1%
1172.682 1
 
0.1%
1044.84 1
 
0.1%
1328.1616 1
 
0.1%
1142.5946 1
 
0.1%
1292.9786 1
 
0.1%
962.08245 1
 
0.1%
975.48 1
 
0.1%
1202.6585 1
 
0.1%
Other values (50) 50
 
4.9%
(Missing) 963
94.1%
ValueCountFrequency (%)
832.79405 1
0.1%
851.21258 1
0.1%
851.68 1
0.1%
864.25209 1
0.1%
886.46219 1
0.1%
ValueCountFrequency (%)
1374.5537 1
0.1%
1353.01 1
0.1%
1328.1616 1
0.1%
1304.6868 1
0.1%
1292.9786 1
0.1%

Kcaltotales_cons1
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)100.0%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean1818.573548
Minimum760.43
Maximum3518.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:39.559579image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum760.43
5-th percentile955.829
Q11341.8475
median1776.565
Q32165.3725
95-th percentile2800.18
Maximum3518.31
Range2757.88
Interquartile range (IQR)823.525

Descriptive statistics

Standard deviation612.2265569
Coefficient of variation (CV)0.3366520741
Kurtosis-0.2611188753
Mean1818.573548
Median Absolute Deviation (MAD)426.37
Skewness0.391681077
Sum112751.56
Variance374821.357
MonotonicityNot monotonic
2024-05-04T15:23:39.742990image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2086 1
 
0.1%
760.43 1
 
0.1%
3518.31 1
 
0.1%
1188.5 1
 
0.1%
1415 1
 
0.1%
1519.75 1
 
0.1%
1540 1
 
0.1%
1494.42 1
 
0.1%
2434.89 1
 
0.1%
1120 1
 
0.1%
Other values (52) 52
 
5.1%
(Missing) 961
93.9%
ValueCountFrequency (%)
760.43 1
0.1%
778.76 1
0.1%
879.25 1
0.1%
954.82 1
0.1%
975 1
0.1%
ValueCountFrequency (%)
3518.31 1
0.1%
3063.62 1
0.1%
2958.32 1
0.1%
2805.71 1
0.1%
2695.11 1
0.1%

Adecuacion_energia1
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)100.0%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean167.9113021
Minimum64.845372
Maximum336.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:39.936409image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum64.845372
5-th percentile83.74625685
Q1117.10565
median155.345685
Q3218.81952
95-th percentile255.666267
Maximum336.73
Range271.884628
Interquartile range (IQR)101.71387

Descriptive statistics

Standard deviation61.88374181
Coefficient of variation (CV)0.3685501872
Kurtosis-0.5403890122
Mean167.9113021
Median Absolute Deviation (MAD)44.948495
Skewness0.3926809835
Sum10074.67812
Variance3829.597501
MonotonicityNot monotonic
2024-05-04T15:23:40.137624image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114.48 1
 
0.1%
255.64095 1
 
0.1%
64.845372 1
 
0.1%
336.73 1
 
0.1%
89.48459 1
 
0.1%
123.84095 1
 
0.1%
117.53869 1
 
0.1%
160.06944 1
 
0.1%
153.2 1
 
0.1%
93.127019 1
 
0.1%
Other values (50) 50
 
4.9%
(Missing) 963
94.1%
ValueCountFrequency (%)
64.845372 1
0.1%
65.845067 1
0.1%
74.72 1
0.1%
84.221323 1
0.1%
89.48459 1
0.1%
ValueCountFrequency (%)
336.73 1
0.1%
278.98852 1
0.1%
256.14729 1
0.1%
255.64095 1
0.1%
254.4201 1
0.1%

p_proteina1
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)25.8%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean16.24193548
Minimum8
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:40.285075image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile11.05
Q114
median16
Q318.75
95-th percentile22
Maximum24
Range16
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation3.504963618
Coefficient of variation (CV)0.2157971642
Kurtosis-0.0984966974
Mean16.24193548
Median Absolute Deviation (MAD)2.5
Skewness-0.06915447957
Sum1007
Variance12.28476996
MonotonicityNot monotonic
2024-05-04T15:23:40.431460image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
16 9
 
0.9%
17 8
 
0.8%
13 6
 
0.6%
19 6
 
0.6%
15 6
 
0.6%
18 5
 
0.5%
12 5
 
0.5%
22 4
 
0.4%
14 3
 
0.3%
20 3
 
0.3%
Other values (6) 7
 
0.7%
(Missing) 961
93.9%
ValueCountFrequency (%)
8 2
 
0.2%
10 1
 
0.1%
11 1
 
0.1%
12 5
0.5%
13 6
0.6%
ValueCountFrequency (%)
24 1
 
0.1%
23 1
 
0.1%
22 4
0.4%
21 1
 
0.1%
20 3
0.3%

p_HC1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)45.2%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean54.88709677
Minimum38
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:40.587160image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile43
Q150
median55
Q359
95-th percentile66.95
Maximum75
Range37
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.57931793
Coefficient of variation (CV)0.1380892482
Kurtosis0.05002982335
Mean54.88709677
Median Absolute Deviation (MAD)5
Skewness0.2326597934
Sum3403
Variance57.44606029
MonotonicityNot monotonic
2024-05-04T15:23:40.756780image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
56 6
 
0.6%
52 5
 
0.5%
55 5
 
0.5%
50 4
 
0.4%
57 3
 
0.3%
49 3
 
0.3%
53 3
 
0.3%
70 2
 
0.2%
54 2
 
0.2%
45 2
 
0.2%
Other values (18) 27
 
2.6%
(Missing) 961
93.9%
ValueCountFrequency (%)
38 1
0.1%
42 2
0.2%
43 2
0.2%
44 1
0.1%
45 2
0.2%
ValueCountFrequency (%)
75 1
0.1%
70 2
0.2%
67 1
0.1%
66 2
0.2%
65 1
0.1%

p_lipidos1
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)40.3%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean28.91935484
Minimum12
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:40.917943image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile18.05
Q123
median28.5
Q333
95-th percentile40.95
Maximum50
Range38
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.547224845
Coefficient of variation (CV)0.2609748691
Kurtosis-0.0237165827
Mean28.91935484
Median Absolute Deviation (MAD)5.5
Skewness0.3012754636
Sum1793
Variance56.96060286
MonotonicityNot monotonic
2024-05-04T15:23:41.101828image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
33 7
 
0.7%
28 5
 
0.5%
26 5
 
0.5%
30 4
 
0.4%
34 4
 
0.4%
19 3
 
0.3%
21 3
 
0.3%
23 3
 
0.3%
29 3
 
0.3%
18 2
 
0.2%
Other values (15) 23
 
2.2%
(Missing) 961
93.9%
ValueCountFrequency (%)
12 1
 
0.1%
17 1
 
0.1%
18 2
0.2%
19 3
0.3%
20 2
0.2%
ValueCountFrequency (%)
50 1
0.1%
43 2
0.2%
41 1
0.1%
40 2
0.2%
39 2
0.2%

Folato_R24Hmcg
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)100.0%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean347.0085484
Minimum97.67
Maximum694.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:41.294161image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum97.67
5-th percentile135.0905
Q1225.1675
median340.115
Q3461.795
95-th percentile564.4375
Maximum694.08
Range596.41
Interquartile range (IQR)236.6275

Descriptive statistics

Standard deviation144.2505726
Coefficient of variation (CV)0.4156974612
Kurtosis-0.5694176097
Mean347.0085484
Median Absolute Deviation (MAD)122.415
Skewness0.2857907
Sum21514.53
Variance20808.22769
MonotonicityNot monotonic
2024-05-04T15:23:41.482182image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
334.07 1
 
0.1%
97.67 1
 
0.1%
364.94 1
 
0.1%
193.28 1
 
0.1%
247.3 1
 
0.1%
196.4 1
 
0.1%
360.95 1
 
0.1%
356.71 1
 
0.1%
444.26 1
 
0.1%
135.08 1
 
0.1%
Other values (52) 52
 
5.1%
(Missing) 961
93.9%
ValueCountFrequency (%)
97.67 1
0.1%
108.22 1
0.1%
128.46 1
0.1%
135.08 1
0.1%
135.29 1
0.1%
ValueCountFrequency (%)
694.08 1
0.1%
650.32 1
0.1%
632.63 1
0.1%
565.33 1
0.1%
547.48 1
0.1%

DFE_R24H
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)100.0%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean400.086129
Minimum115.55
Maximum870.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:41.674453image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum115.55
5-th percentile138.538
Q1245.34
median383.35
Q3538.3025
95-th percentile701.346
Maximum870.51
Range754.96
Interquartile range (IQR)292.9625

Descriptive statistics

Standard deviation185.438652
Coefficient of variation (CV)0.4634968285
Kurtosis-0.6253988861
Mean400.086129
Median Absolute Deviation (MAD)142.685
Skewness0.3508300093
Sum24805.34
Variance34387.49364
MonotonicityNot monotonic
2024-05-04T15:23:41.880636image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
317.42 1
 
0.1%
115.55 1
 
0.1%
316.16 1
 
0.1%
154.81 1
 
0.1%
246.3 1
 
0.1%
265.63 1
 
0.1%
379 1
 
0.1%
352.44 1
 
0.1%
485.49 1
 
0.1%
138.25 1
 
0.1%
Other values (52) 52
 
5.1%
(Missing) 961
93.9%
ValueCountFrequency (%)
115.55 1
0.1%
121.11 1
0.1%
132.73 1
0.1%
138.25 1
0.1%
144.01 1
0.1%
ValueCountFrequency (%)
870.51 1
0.1%
772.43 1
0.1%
719.42 1
0.1%
702.13 1
0.1%
686.45 1
0.1%

AcFolR24H_kcal
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)98.4%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.2265664427
Minimum0.0663623
Maximum0.62651735
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:42.072262image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.0663623
5-th percentile0.097375968
Q10.1522149575
median0.213378105
Q30.2669981975
95-th percentile0.3897473065
Maximum0.62651735
Range0.56015505
Interquartile range (IQR)0.11478324

Descriptive statistics

Standard deviation0.1018516685
Coefficient of variation (CV)0.4495443686
Kurtosis2.922194686
Mean0.2265664427
Median Absolute Deviation (MAD)0.06111502
Skewness1.32504957
Sum14.04711945
Variance0.01037376237
MonotonicityNot monotonic
2024-05-04T15:23:42.248380image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.29 2
 
0.2%
0.245 1
 
0.1%
0.1519535 1
 
0.1%
0.09 1
 
0.1%
0.13025663 1
 
0.1%
0.1740636 1
 
0.1%
0.17478533 1
 
0.1%
0.2461039 1
 
0.1%
0.236 1
 
0.1%
0.199 1
 
0.1%
Other values (51) 51
 
5.0%
(Missing) 961
93.9%
ValueCountFrequency (%)
0.0663623 1
0.1%
0.08158596 1
0.1%
0.09 1
0.1%
0.09710364 1
0.1%
0.1025502 1
0.1%
ValueCountFrequency (%)
0.62651735 1
0.1%
0.47714559 1
0.1%
0.39623589 1
0.1%
0.39003692 1
0.1%
0.38424465 1
0.1%

FFQ_plip
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)33.9%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean71.09677419
Minimum17
Maximum2800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:42.402864image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile20.05
Q123
median25
Q329
95-th percentile36.9
Maximum2800
Range2783
Interquartile range (IQR)6

Descriptive statistics

Standard deviation352.2894539
Coefficient of variation (CV)4.955069451
Kurtosis61.97272369
Mean71.09677419
Median Absolute Deviation (MAD)3
Skewness7.87145481
Sum4408
Variance124107.8593
MonotonicityNot monotonic
2024-05-04T15:23:42.543842image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
25 11
 
1.1%
22 7
 
0.7%
30 5
 
0.5%
27 5
 
0.5%
28 4
 
0.4%
24 4
 
0.4%
29 4
 
0.4%
21 4
 
0.4%
23 3
 
0.3%
19 2
 
0.2%
Other values (11) 13
 
1.3%
(Missing) 961
93.9%
ValueCountFrequency (%)
17 1
 
0.1%
19 2
 
0.2%
20 1
 
0.1%
21 4
0.4%
22 7
0.7%
ValueCountFrequency (%)
2800 1
0.1%
46 1
0.1%
38 1
0.1%
37 1
0.1%
35 2
0.2%

FFQ_pHC
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)41.9%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean55.4516129
Minimum33
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:42.691957image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile45
Q151
median56
Q361
95-th percentile64.95
Maximum74
Range41
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.58488017
Coefficient of variation (CV)0.1367837611
Kurtosis0.5104104607
Mean55.4516129
Median Absolute Deviation (MAD)5
Skewness-0.4098824025
Sum3438
Variance57.53040719
MonotonicityNot monotonic
2024-05-04T15:23:42.837699image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
56 6
 
0.6%
45 5
 
0.5%
61 5
 
0.5%
54 4
 
0.4%
64 4
 
0.4%
57 4
 
0.4%
55 3
 
0.3%
52 3
 
0.3%
59 3
 
0.3%
63 3
 
0.3%
Other values (16) 22
 
2.2%
(Missing) 961
93.9%
ValueCountFrequency (%)
33 1
 
0.1%
38 1
 
0.1%
43 1
 
0.1%
45 5
0.5%
46 1
 
0.1%
ValueCountFrequency (%)
74 1
 
0.1%
68 2
0.2%
65 1
 
0.1%
64 4
0.4%
63 3
0.3%

FFQ_pProt
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)27.4%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean16.80645161
Minimum6
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:42.983203image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile11.1
Q115
median17
Q319
95-th percentile21.95
Maximum26
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.439589709
Coefficient of variation (CV)0.2046588886
Kurtosis1.41574883
Mean16.80645161
Median Absolute Deviation (MAD)2
Skewness-0.2999382682
Sum1042
Variance11.83077737
MonotonicityNot monotonic
2024-05-04T15:23:43.141749image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
17 10
 
1.0%
19 8
 
0.8%
16 8
 
0.8%
15 6
 
0.6%
18 6
 
0.6%
13 5
 
0.5%
20 5
 
0.5%
14 4
 
0.4%
21 2
 
0.2%
23 1
 
0.1%
Other values (7) 7
 
0.7%
(Missing) 961
93.9%
ValueCountFrequency (%)
6 1
 
0.1%
9 1
 
0.1%
10 1
 
0.1%
11 1
 
0.1%
13 5
0.5%
ValueCountFrequency (%)
26 1
0.1%
24 1
0.1%
23 1
0.1%
22 1
0.1%
21 2
0.2%

FFQ_FOLATOmcg
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)98.4%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean620.6464516
Minimum41
Maximum1512.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:43.317892image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile262.4525
Q1434.9475
median602.805
Q3771.29
95-th percentile1132.3015
Maximum1512.4
Range1471.4
Interquartile range (IQR)336.3425

Descriptive statistics

Standard deviation264.1438978
Coefficient of variation (CV)0.4255947925
Kurtosis1.270254851
Mean620.6464516
Median Absolute Deviation (MAD)173
Skewness0.7169373434
Sum38480.08
Variance69771.99874
MonotonicityNot monotonic
2024-05-04T15:23:43.505855image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
607 2
 
0.2%
359.8 1
 
0.1%
250.39 1
 
0.1%
670.18 1
 
0.1%
313.17 1
 
0.1%
297.92 1
 
0.1%
587.68 1
 
0.1%
260.79 1
 
0.1%
634.03 1
 
0.1%
787.2 1
 
0.1%
Other values (51) 51
 
5.0%
(Missing) 961
93.9%
ValueCountFrequency (%)
41 1
0.1%
250.39 1
0.1%
260.79 1
0.1%
261.22 1
0.1%
285.87 1
0.1%
ValueCountFrequency (%)
1512.4 1
0.1%
1173.39 1
0.1%
1158 1
0.1%
1136.75 1
0.1%
1047.78 1
0.1%

FFQ_DFE
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)100.0%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean742.3627419
Minimum211.65
Maximum1781
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:43.683249image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum211.65
5-th percentile330.3145
Q1505.4225
median739.37
Q3969.045
95-th percentile1206.788
Maximum1781
Range1569.35
Interquartile range (IQR)463.6225

Descriptive statistics

Standard deviation307.5294069
Coefficient of variation (CV)0.4142575988
Kurtosis1.02526652
Mean742.3627419
Median Absolute Deviation (MAD)235.48
Skewness0.7663211244
Sum46026.49
Variance94574.33613
MonotonicityNot monotonic
2024-05-04T15:23:43.872820image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
456.6 1
 
0.1%
299.68 1
 
0.1%
791.24 1
 
0.1%
340.28 1
 
0.1%
211.65 1
 
0.1%
640.59 1
 
0.1%
329.79 1
 
0.1%
737.74 1
 
0.1%
837.1 1
 
0.1%
747.25 1
 
0.1%
Other values (52) 52
 
5.1%
(Missing) 961
93.9%
ValueCountFrequency (%)
211.65 1
0.1%
299.68 1
0.1%
315.47 1
0.1%
329.79 1
0.1%
340.28 1
0.1%
ValueCountFrequency (%)
1781 1
0.1%
1508 1
0.1%
1269.3 1
0.1%
1211.54 1
0.1%
1116.5 1
0.1%

FFQ_energia
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)98.4%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean2396.264677
Minimum486.4
Maximum6219.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:44.068429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum486.4
5-th percentile1130.388
Q11750.575
median2384.66
Q32845.875
95-th percentile4116.95
Maximum6219.85
Range5733.45
Interquartile range (IQR)1095.3

Descriptive statistics

Standard deviation985.2196986
Coefficient of variation (CV)0.4111481123
Kurtosis3.099415855
Mean2396.264677
Median Absolute Deviation (MAD)555.935
Skewness1.192113513
Sum148568.41
Variance970657.8545
MonotonicityNot monotonic
2024-05-04T15:23:44.254435image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1627 2
 
0.2%
2450 1
 
0.1%
2839 1
 
0.1%
1129.28 1
 
0.1%
2935 1
 
0.1%
2768.13 1
 
0.1%
1067.36 1
 
0.1%
2274.45 1
 
0.1%
2311 1
 
0.1%
1762.89 1
 
0.1%
Other values (51) 51
 
5.0%
(Missing) 961
93.9%
ValueCountFrequency (%)
486.4 1
0.1%
1021.98 1
0.1%
1067.36 1
0.1%
1129.28 1
0.1%
1151.44 1
0.1%
ValueCountFrequency (%)
6219.85 1
0.1%
4896.8 1
0.1%
4502 1
0.1%
4132 1
0.1%
3831 1
0.1%

AcFolico_supl
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)2.1%
Missing929
Missing (%)90.8%
Infinite0
Infinite (%)0.0%
Mean0.9893617021
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:44.401869image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1031421246
Coefficient of variation (CV)0.1042511797
Kurtosis94
Mean0.9893617021
Median Absolute Deviation (MAD)0
Skewness-9.695359715
Sum93
Variance0.01063829787
MonotonicityNot monotonic
2024-05-04T15:23:44.527883image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 93
 
9.1%
0 1
 
0.1%
(Missing) 929
90.8%
ValueCountFrequency (%)
0 1
 
0.1%
1 93
9.1%
ValueCountFrequency (%)
1 93
9.1%
0 1
 
0.1%

AcFolico_marca
Text

MISSING 

Distinct28
Distinct (%)37.8%
Missing949
Missing (%)92.8%
Memory size8.1 KiB
2024-05-04T15:23:44.706427image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length24
Median length16
Mean length8.148648649
Min length2

Characters and Unicode

Total characters603
Distinct characters35
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)21.6%

Sample

1st rowGI
2nd rowFolivital-
3rd rowValdecasas-pg/Natelle-1T
4th rowAutrin
5th rowNatele
ValueCountFrequency (%)
ssa 12
16.2%
folivital 9
12.2%
natele 9
12.2%
materna 5
 
6.8%
imss 4
 
5.4%
autrin 4
 
5.4%
valdecasas 4
 
5.4%
generico 3
 
4.1%
cilocid 3
 
4.1%
folivital/nanavit 3
 
4.1%
Other values (16) 18
24.3%
2024-05-04T15:23:45.055306image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 80
13.3%
l 64
 
10.6%
e 57
 
9.5%
i 55
 
9.1%
t 55
 
9.1%
S 34
 
5.6%
o 27
 
4.5%
v 23
 
3.8%
n 22
 
3.6%
r 21
 
3.5%
Other values (25) 165
27.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 603
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 80
13.3%
l 64
 
10.6%
e 57
 
9.5%
i 55
 
9.1%
t 55
 
9.1%
S 34
 
5.6%
o 27
 
4.5%
v 23
 
3.8%
n 22
 
3.6%
r 21
 
3.5%
Other values (25) 165
27.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 603
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 80
13.3%
l 64
 
10.6%
e 57
 
9.5%
i 55
 
9.1%
t 55
 
9.1%
S 34
 
5.6%
o 27
 
4.5%
v 23
 
3.8%
n 22
 
3.6%
r 21
 
3.5%
Other values (25) 165
27.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 603
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 80
13.3%
l 64
 
10.6%
e 57
 
9.5%
i 55
 
9.1%
t 55
 
9.1%
S 34
 
5.6%
o 27
 
4.5%
v 23
 
3.8%
n 22
 
3.6%
r 21
 
3.5%
Other values (25) 165
27.4%

AcFsup_dosis_mg
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)9.2%
Missing947
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean0.8263157895
Minimum0.1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:45.205172image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.4
Q10.4
median0.4
Q30.85
95-th percentile2.3
Maximum5
Range4.9
Interquartile range (IQR)0.45

Descriptive statistics

Standard deviation1.027666408
Coefficient of variation (CV)1.243672723
Kurtosis12.62167429
Mean0.8263157895
Median Absolute Deviation (MAD)0.1
Skewness3.626639471
Sum62.8
Variance1.056098246
MonotonicityNot monotonic
2024-05-04T15:23:45.340701image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.4 38
 
3.7%
1 13
 
1.3%
0.6 10
 
1.0%
0.8 7
 
0.7%
5 4
 
0.4%
0.1 2
 
0.2%
1.4 2
 
0.2%
(Missing) 947
92.6%
ValueCountFrequency (%)
0.1 2
 
0.2%
0.4 38
3.7%
0.6 10
 
1.0%
0.8 7
 
0.7%
1 13
 
1.3%
ValueCountFrequency (%)
5 4
 
0.4%
1.4 2
 
0.2%
1 13
1.3%
0.8 7
0.7%
0.6 10
1.0%

supl_preconcep
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)2.2%
Missing930
Missing (%)90.9%
Infinite0
Infinite (%)0.0%
Mean0.1182795699
Minimum0
Maximum1
Zeros82
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:45.467837image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3246892282
Coefficient of variation (CV)2.745099838
Kurtosis3.856777369
Mean0.1182795699
Median Absolute Deviation (MAD)0
Skewness2.402974021
Sum11
Variance0.1054230949
MonotonicityNot monotonic
2024-05-04T15:23:45.594875image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 82
 
8.0%
1 11
 
1.1%
(Missing) 930
90.9%
ValueCountFrequency (%)
0 82
8.0%
1 11
 
1.1%
ValueCountFrequency (%)
1 11
 
1.1%
0 82
8.0%

supl_1erTrim
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)2.2%
Missing931
Missing (%)91.0%
Infinite0
Infinite (%)0.0%
Mean0.6086956522
Minimum0
Maximum1
Zeros36
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:45.716811image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4907164921
Coefficient of variation (CV)0.8061770941
Kurtosis-1.835310029
Mean0.6086956522
Median Absolute Deviation (MAD)0
Skewness-0.4528525652
Sum56
Variance0.2408026756
MonotonicityNot monotonic
2024-05-04T15:23:45.849015image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 56
 
5.5%
0 36
 
3.5%
(Missing) 931
91.0%
ValueCountFrequency (%)
0 36
3.5%
1 56
5.5%
ValueCountFrequency (%)
1 56
5.5%
0 36
3.5%

Multi0_acfol1
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)3.7%
Missing941
Missing (%)92.0%
Infinite0
Infinite (%)0.0%
Mean0.6585365854
Minimum0
Maximum2
Zeros29
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:45.976834image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5023282139
Coefficient of variation (CV)0.7627946951
Kurtosis-1.151793478
Mean0.6585365854
Median Absolute Deviation (MAD)0
Skewness-0.3791414764
Sum54
Variance0.2523336344
MonotonicityNot monotonic
2024-05-04T15:23:46.131690image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 52
 
5.1%
0 29
 
2.8%
2 1
 
0.1%
(Missing) 941
92.0%
ValueCountFrequency (%)
0 29
2.8%
1 52
5.1%
2 1
 
0.1%
ValueCountFrequency (%)
2 1
 
0.1%
1 52
5.1%
0 29
2.8%

iniciosupl_sdg
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)19.8%
Missing932
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean5.83956044
Minimum0
Maximum34
Zeros12
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:46.291816image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q38.5
95-th percentile14
Maximum34
Range34
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation5.377068163
Coefficient of variation (CV)0.9208001558
Kurtosis7.497462601
Mean5.83956044
Median Absolute Deviation (MAD)4
Skewness1.96573015
Sum531.4
Variance28.91286203
MonotonicityNot monotonic
2024-05-04T15:23:46.442053image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 15
 
1.5%
5 13
 
1.3%
0 12
 
1.2%
4 10
 
1.0%
8 8
 
0.8%
9 7
 
0.7%
6 6
 
0.6%
12 4
 
0.4%
10 3
 
0.3%
14 3
 
0.3%
Other values (8) 10
 
1.0%
(Missing) 932
91.1%
ValueCountFrequency (%)
0 12
1.2%
1 15
1.5%
3 2
 
0.2%
4 10
1.0%
5 13
1.3%
ValueCountFrequency (%)
34 1
 
0.1%
21 1
 
0.1%
17 1
 
0.1%
14 3
0.3%
13 2
0.2%

AcFolico_papa
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)2.2%
Missing930
Missing (%)90.9%
Infinite0
Infinite (%)0.0%
Mean0.0752688172
Minimum0
Maximum1
Zeros86
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:46.585459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2652545594
Coefficient of variation (CV)3.52409629
Kurtosis8.902413201
Mean0.0752688172
Median Absolute Deviation (MAD)0
Skewness3.272825432
Sum7
Variance0.0703599813
MonotonicityNot monotonic
2024-05-04T15:23:46.712752image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 86
 
8.4%
1 7
 
0.7%
(Missing) 930
90.9%
ValueCountFrequency (%)
0 86
8.4%
1 7
 
0.7%
ValueCountFrequency (%)
1 7
 
0.7%
0 86
8.4%

Ins_1av
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)92.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean11.704
Minimum5.1
Maximum32.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:47.299791image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile6.14
Q17.8
median9.6
Q312.7
95-th percentile23.42
Maximum32.6
Range27.5
Interquartile range (IQR)4.9

Descriptive statistics

Standard deviation6.476462512
Coefficient of variation (CV)0.5533546234
Kurtosis3.637293659
Mean11.704
Median Absolute Deviation (MAD)3
Skewness1.83892066
Sum292.6
Variance41.94456667
MonotonicityNot monotonic
2024-05-04T15:23:47.437575image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
12.6 2
 
0.2%
6.4 2
 
0.2%
8.6 1
 
0.1%
9.7 1
 
0.1%
6.8 1
 
0.1%
8.3 1
 
0.1%
6.3 1
 
0.1%
7.8 1
 
0.1%
21.9 1
 
0.1%
8.2 1
 
0.1%
Other values (13) 13
 
1.3%
(Missing) 998
97.6%
ValueCountFrequency (%)
5.1 1
0.1%
6.1 1
0.1%
6.3 1
0.1%
6.4 2
0.2%
6.8 1
0.1%
ValueCountFrequency (%)
32.6 1
0.1%
23.8 1
0.1%
21.9 1
0.1%
18.5 1
0.1%
14.9 1
0.1%

Gluc_1av
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)61.3%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean88.74193548
Minimum77
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:47.587280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum77
5-th percentile81
Q185.5
median88
Q393
95-th percentile96.5
Maximum99
Range22
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation5.266040524
Coefficient of variation (CV)0.05934106006
Kurtosis-0.4176488223
Mean88.74193548
Median Absolute Deviation (MAD)4
Skewness-0.168210715
Sum2751
Variance27.7311828
MonotonicityNot monotonic
2024-05-04T15:23:47.728224image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
88 5
 
0.5%
93 3
 
0.3%
94 2
 
0.2%
82 2
 
0.2%
89 2
 
0.2%
81 2
 
0.2%
87 2
 
0.2%
91 2
 
0.2%
99 1
 
0.1%
83 1
 
0.1%
Other values (9) 9
 
0.9%
(Missing) 992
97.0%
ValueCountFrequency (%)
77 1
0.1%
81 2
0.2%
82 2
0.2%
83 1
0.1%
84 1
0.1%
ValueCountFrequency (%)
99 1
0.1%
97 1
0.1%
96 1
0.1%
95 1
0.1%
94 2
0.2%

Col_1av
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)90.3%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean172.516129
Minimum121
Maximum237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:47.880453image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum121
5-th percentile131.5
Q1153.5
median165
Q3191
95-th percentile225
Maximum237
Range116
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation28.19795615
Coefficient of variation (CV)0.1634511295
Kurtosis-0.05453946716
Mean172.516129
Median Absolute Deviation (MAD)14
Skewness0.5164790936
Sum5348
Variance795.1247312
MonotonicityNot monotonic
2024-05-04T15:23:48.047447image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
168 2
 
0.2%
153 2
 
0.2%
161 2
 
0.2%
136 1
 
0.1%
193 1
 
0.1%
121 1
 
0.1%
202 1
 
0.1%
160 1
 
0.1%
237 1
 
0.1%
175 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 992
97.0%
ValueCountFrequency (%)
121 1
0.1%
127 1
0.1%
136 1
0.1%
145 1
0.1%
150 1
0.1%
ValueCountFrequency (%)
237 1
0.1%
226 1
0.1%
224 1
0.1%
209 1
0.1%
202 1
0.1%

Tg_1av
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)96.8%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean135.1612903
Minimum72
Maximum306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:48.211529image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile80
Q1107.5
median127
Q3143
95-th percentile243.5
Maximum306
Range234
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation51.77264192
Coefficient of variation (CV)0.3830434128
Kurtosis3.521393899
Mean135.1612903
Median Absolute Deviation (MAD)18
Skewness1.778728145
Sum4190
Variance2680.406452
MonotonicityNot monotonic
2024-05-04T15:23:48.376090image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
109 2
 
0.2%
124 1
 
0.1%
133 1
 
0.1%
126 1
 
0.1%
127 1
 
0.1%
79 1
 
0.1%
208 1
 
0.1%
108 1
 
0.1%
132 1
 
0.1%
107 1
 
0.1%
Other values (20) 20
 
2.0%
(Missing) 992
97.0%
ValueCountFrequency (%)
72 1
0.1%
79 1
0.1%
81 1
0.1%
86 1
0.1%
92 1
0.1%
ValueCountFrequency (%)
306 1
0.1%
246 1
0.1%
241 1
0.1%
208 1
0.1%
157 1
0.1%

LDL_1av
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)83.9%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean87.70967742
Minimum49
Maximum132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:48.537556image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile63
Q170.5
median88
Q3102.5
95-th percentile119.5
Maximum132
Range83
Interquartile range (IQR)32

Descriptive statistics

Standard deviation20.60613751
Coefficient of variation (CV)0.2349357348
Kurtosis-0.7050899769
Mean87.70967742
Median Absolute Deviation (MAD)18
Skewness0.284704913
Sum2719
Variance424.6129032
MonotonicityNot monotonic
2024-05-04T15:23:48.678744image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
68 2
 
0.2%
67 2
 
0.2%
99 2
 
0.2%
92 2
 
0.2%
71 2
 
0.2%
66 1
 
0.1%
94 1
 
0.1%
60 1
 
0.1%
72 1
 
0.1%
109 1
 
0.1%
Other values (16) 16
 
1.6%
(Missing) 992
97.0%
ValueCountFrequency (%)
49 1
0.1%
60 1
0.1%
66 1
0.1%
67 2
0.2%
68 2
0.2%
ValueCountFrequency (%)
132 1
0.1%
125 1
0.1%
114 1
0.1%
112 1
0.1%
111 1
0.1%

HDL_1av
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)71.0%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean57.83870968
Minimum31
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:48.826959image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile36.5
Q151
median59
Q367
95-th percentile79.5
Maximum85
Range54
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.29685871
Coefficient of variation (CV)0.2298954936
Kurtosis-0.2574765607
Mean57.83870968
Median Absolute Deviation (MAD)8
Skewness-0.1172243079
Sum1793
Variance176.8064516
MonotonicityNot monotonic
2024-05-04T15:23:48.988329image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
57 3
 
0.3%
61 2
 
0.2%
54 2
 
0.2%
50 2
 
0.2%
70 2
 
0.2%
59 2
 
0.2%
67 2
 
0.2%
39 2
 
0.2%
85 1
 
0.1%
37 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 992
97.0%
ValueCountFrequency (%)
31 1
0.1%
36 1
0.1%
37 1
0.1%
39 2
0.2%
42 1
0.1%
ValueCountFrequency (%)
85 1
0.1%
80 1
0.1%
79 1
0.1%
72 1
0.1%
70 2
0.2%

Pgn_1av
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean50.775
Minimum14.945
Maximum112.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:49.149179image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum14.945
5-th percentile25.89925
Q137.591
median43.653
Q363.4435
95-th percentile80.738
Maximum112.4
Range97.455
Interquartile range (IQR)25.8525

Descriptive statistics

Standard deviation22.39192031
Coefficient of variation (CV)0.4410028618
Kurtosis1.297580141
Mean50.775
Median Absolute Deviation (MAD)12.27
Skewness0.9979608152
Sum1117.05
Variance501.398095
MonotonicityNot monotonic
2024-05-04T15:23:49.296730image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
52.798 1
 
0.1%
43.614 1
 
0.1%
59.323 1
 
0.1%
25.724 1
 
0.1%
77.85 1
 
0.1%
45.111 1
 
0.1%
31.232 1
 
0.1%
71.938 1
 
0.1%
39.493 1
 
0.1%
54.67 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
14.945 1
0.1%
25.724 1
0.1%
29.229 1
0.1%
31.232 1
0.1%
31.534 1
0.1%
ValueCountFrequency (%)
112.4 1
0.1%
80.89 1
0.1%
77.85 1
0.1%
74.281 1
0.1%
71.938 1
0.1%

E2_1av
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean1511.648182
Minimum475.42
Maximum3222.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:49.436203image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum475.42
5-th percentile503.6845
Q1902.975
median1234.4
Q32263.725
95-th percentile2972.25
Maximum3222.8
Range2747.38
Interquartile range (IQR)1360.75

Descriptive statistics

Standard deviation880.0596861
Coefficient of variation (CV)0.5821855222
Kurtosis-0.918445532
Mean1511.648182
Median Absolute Deviation (MAD)602.26
Skewness0.6401622791
Sum33256.26
Variance774505.0512
MonotonicityNot monotonic
2024-05-04T15:23:49.581912image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2811.7 1
 
0.1%
726.67 1
 
0.1%
2445.9 1
 
0.1%
529.42 1
 
0.1%
2980.7 1
 
0.1%
1187.1 1
 
0.1%
1186.1 1
 
0.1%
502.33 1
 
0.1%
2155.8 1
 
0.1%
2700.8 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
475.42 1
0.1%
502.33 1
0.1%
529.42 1
0.1%
537.61 1
0.1%
726.67 1
0.1%
ValueCountFrequency (%)
3222.8 1
0.1%
2980.7 1
0.1%
2811.7 1
0.1%
2700.8 1
0.1%
2445.9 1
0.1%

Lep_1av
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing1006
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean12.00064706
Minimum4.491
Maximum19.299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:49.727333image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.491
5-th percentile5.3574
Q17.104
median12.278
Q315.895
95-th percentile19.0614
Maximum19.299
Range14.808
Interquartile range (IQR)8.791

Descriptive statistics

Standard deviation5.072659435
Coefficient of variation (CV)0.422698827
Kurtosis-1.387371226
Mean12.00064706
Median Absolute Deviation (MAD)5.174
Skewness0.0976812645
Sum204.011
Variance25.73187374
MonotonicityNot monotonic
2024-05-04T15:23:49.884727image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4.491 1
 
0.1%
15.895 1
 
0.1%
9.098 1
 
0.1%
8.841 1
 
0.1%
7.104 1
 
0.1%
10.943 1
 
0.1%
19.299 1
 
0.1%
19.002 1
 
0.1%
12.278 1
 
0.1%
14.167 1
 
0.1%
Other values (7) 7
 
0.7%
(Missing) 1006
98.3%
ValueCountFrequency (%)
4.491 1
0.1%
5.574 1
0.1%
6.219 1
0.1%
6.995 1
0.1%
7.104 1
0.1%
ValueCountFrequency (%)
19.299 1
0.1%
19.002 1
0.1%
18.901 1
0.1%
18.055 1
0.1%
15.895 1
0.1%

Adipo_1av
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing1005
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean10.75788889
Minimum3.351
Maximum24.221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:50.050031image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.351
5-th percentile5.62985
Q18.43625
median9.646
Q311.2665
95-th percentile19.2774
Maximum24.221
Range20.87
Interquartile range (IQR)2.83025

Descriptive statistics

Standard deviation4.82943107
Coefficient of variation (CV)0.4489199619
Kurtosis2.766659886
Mean10.75788889
Median Absolute Deviation (MAD)1.5125
Skewness1.454457045
Sum193.642
Variance23.32340446
MonotonicityNot monotonic
2024-05-04T15:23:50.187402image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
12.414 1
 
0.1%
11.046 1
 
0.1%
9.504 1
 
0.1%
8.821 1
 
0.1%
8.021 1
 
0.1%
3.351 1
 
0.1%
16.703 1
 
0.1%
10.481 1
 
0.1%
9.217 1
 
0.1%
8.96 1
 
0.1%
Other values (8) 8
 
0.8%
(Missing) 1005
98.2%
ValueCountFrequency (%)
3.351 1
0.1%
6.032 1
0.1%
6.848 1
0.1%
8.021 1
0.1%
8.308 1
0.1%
ValueCountFrequency (%)
24.221 1
0.1%
18.405 1
0.1%
16.703 1
0.1%
12.414 1
0.1%
11.34 1
0.1%

Peso_1av
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean64.93
Minimum42.3
Maximum80.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:50.330266image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum42.3
5-th percentile47.815
Q159.6
median66.35
Q371.525
95-th percentile78.18
Maximum80.5
Range38.2
Interquartile range (IQR)11.925

Descriptive statistics

Standard deviation9.645515306
Coefficient of variation (CV)0.1485525228
Kurtosis-0.002087533132
Mean64.93
Median Absolute Deviation (MAD)5.95
Skewness-0.6314151556
Sum1947.9
Variance93.03596552
MonotonicityNot monotonic
2024-05-04T15:23:50.494422image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
72.6 2
 
0.2%
44.8 1
 
0.1%
69.8 1
 
0.1%
67.9 1
 
0.1%
51.5 1
 
0.1%
70.1 1
 
0.1%
65 1
 
0.1%
52.5 1
 
0.1%
52 1
 
0.1%
75.2 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 993
97.1%
ValueCountFrequency (%)
42.3 1
0.1%
44.8 1
0.1%
51.5 1
0.1%
52 1
0.1%
52.5 1
0.1%
ValueCountFrequency (%)
80.5 1
0.1%
79.8 1
0.1%
76.2 1
0.1%
75.3 1
0.1%
75.2 1
0.1%

Talla_1av
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)80.6%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean1.577129032
Minimum1.495
Maximum1.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:50.657349image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.495
5-th percentile1.514
Q11.545
median1.573
Q31.611
95-th percentile1.6385
Maximum1.67
Range0.175
Interquartile range (IQR)0.066

Descriptive statistics

Standard deviation0.0444580266
Coefficient of variation (CV)0.02818921324
Kurtosis-0.833106705
Mean1.577129032
Median Absolute Deviation (MAD)0.029
Skewness0.1453627074
Sum48.891
Variance0.001976516129
MonotonicityNot monotonic
2024-05-04T15:23:50.817180image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.63 2
 
0.2%
1.56 2
 
0.2%
1.545 2
 
0.2%
1.6 2
 
0.2%
1.59 2
 
0.2%
1.55 2
 
0.2%
1.513 1
 
0.1%
1.535 1
 
0.1%
1.573 1
 
0.1%
1.53 1
 
0.1%
Other values (15) 15
 
1.5%
(Missing) 992
97.0%
ValueCountFrequency (%)
1.495 1
0.1%
1.513 1
0.1%
1.515 1
0.1%
1.52 1
0.1%
1.53 1
0.1%
ValueCountFrequency (%)
1.67 1
0.1%
1.64 1
0.1%
1.637 1
0.1%
1.634 1
0.1%
1.63 2
0.2%

CMB_1av
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)74.2%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean28.53225806
Minimum22
Maximum34.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:50.990185image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile23.95
Q127.25
median28.5
Q330
95-th percentile32.5
Maximum34.6
Range12.6
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.7443745
Coefficient of variation (CV)0.09618497401
Kurtosis0.3632918072
Mean28.53225806
Median Absolute Deviation (MAD)1.5
Skewness-0.1339039239
Sum884.5
Variance7.531591398
MonotonicityNot monotonic
2024-05-04T15:23:51.174011image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
28.5 3
 
0.3%
26 3
 
0.3%
28 2
 
0.2%
30 2
 
0.2%
27.5 2
 
0.2%
29.8 2
 
0.2%
33 1
 
0.1%
30.1 1
 
0.1%
24.4 1
 
0.1%
32 1
 
0.1%
Other values (13) 13
 
1.3%
(Missing) 992
97.0%
ValueCountFrequency (%)
22 1
 
0.1%
23.5 1
 
0.1%
24.4 1
 
0.1%
26 3
0.3%
26.3 1
 
0.1%
ValueCountFrequency (%)
34.6 1
0.1%
33 1
0.1%
32 1
0.1%
31.9 1
0.1%
31.7 1
0.1%

PCT_1av
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)71.0%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean29.16129032
Minimum15
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:51.331729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile19.75
Q123.75
median29.5
Q333
95-th percentile40.25
Maximum49
Range34
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation7.177960593
Coefficient of variation (CV)0.2461468788
Kurtosis0.7465338189
Mean29.16129032
Median Absolute Deviation (MAD)4.5
Skewness0.5648793465
Sum904
Variance51.52311828
MonotonicityNot monotonic
2024-05-04T15:23:51.503485image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
33 4
 
0.4%
30 3
 
0.3%
22 2
 
0.2%
24 2
 
0.2%
23 2
 
0.2%
29 2
 
0.2%
19.5 1
 
0.1%
29.5 1
 
0.1%
32 1
 
0.1%
34 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 992
97.0%
ValueCountFrequency (%)
15 1
0.1%
19.5 1
0.1%
20 1
0.1%
22 2
0.2%
23 2
0.2%
ValueCountFrequency (%)
49 1
0.1%
41 1
0.1%
39.5 1
0.1%
39 1
0.1%
35.5 1
0.1%

Peso_actual2
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean69.28636364
Minimum51
Maximum92.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:51.664608image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile53.655
Q163.575
median69.15
Q375.075
95-th percentile80.475
Maximum92.4
Range41.4
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation9.63852861
Coefficient of variation (CV)0.1391114803
Kurtosis0.4684213437
Mean69.28636364
Median Absolute Deviation (MAD)6.05
Skewness0.1389973599
Sum1524.3
Variance92.90123377
MonotonicityNot monotonic
2024-05-04T15:23:51.815774image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
73.8 1
 
0.1%
56.6 1
 
0.1%
76.6 1
 
0.1%
73 1
 
0.1%
61.1 1
 
0.1%
53.5 1
 
0.1%
63.1 1
 
0.1%
80.5 1
 
0.1%
59.6 1
 
0.1%
69.3 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
51 1
0.1%
53.5 1
0.1%
56.6 1
0.1%
59.6 1
0.1%
61.1 1
0.1%
ValueCountFrequency (%)
92.4 1
0.1%
80.5 1
0.1%
80 1
0.1%
76.6 1
0.1%
76.5 1
0.1%

GER2
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean1138.138325
Minimum922.42166
Maximum1436.2177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:51.965537image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum922.42166
5-th percentile948.053524
Q11054.547075
median1133.9621
Q31255.388975
95-th percentile1337.263785
Maximum1436.2177
Range513.79604
Interquartile range (IQR)200.8419

Descriptive statistics

Standard deviation139.5117034
Coefficient of variation (CV)0.1225788644
Kurtosis-0.6383969358
Mean1138.138325
Median Absolute Deviation (MAD)105.0979
Skewness0.3707398811
Sum25039.04315
Variance19463.51538
MonotonicityNot monotonic
2024-05-04T15:23:52.126970image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1196.7501 1
 
0.1%
922.42166 1
 
0.1%
1215.3959 1
 
0.1%
1144.6839 1
 
0.1%
1060.3298 1
 
0.1%
974.72048 1
 
0.1%
985.81881 1
 
0.1%
1337.9354 1
 
0.1%
1005.2001 1
 
0.1%
1154.5328 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
922.42166 1
0.1%
946.65 1
0.1%
974.72048 1
0.1%
985.81881 1
0.1%
1005.2001 1
0.1%
ValueCountFrequency (%)
1436.2177 1
0.1%
1337.9354 1
0.1%
1324.5031 1
0.1%
1277.86 1
0.1%
1270.9699 1
0.1%

Kcaltotales_cons2
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean2112.122273
Minimum866.65
Maximum3473.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:52.273755image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum866.65
5-th percentile1037.1
Q11667.5
median1922.38
Q32523.3275
95-th percentile3374.04
Maximum3473.13
Range2606.48
Interquartile range (IQR)855.8275

Descriptive statistics

Standard deviation692.9298458
Coefficient of variation (CV)0.3280727895
Kurtosis-0.2780803868
Mean2112.122273
Median Absolute Deviation (MAD)382.45
Skewness0.3541229088
Sum46466.69
Variance480151.7712
MonotonicityNot monotonic
2024-05-04T15:23:52.434487image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2766.28 1
 
0.1%
2192 1
 
0.1%
1690 1
 
0.1%
3391.2 1
 
0.1%
3048 1
 
0.1%
1859 1
 
0.1%
1576.9 1
 
0.1%
1011 1
 
0.1%
1754.3 1
 
0.1%
2581 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
866.65 1
0.1%
1011 1
0.1%
1533 1
0.1%
1576.9 1
0.1%
1647.6 1
0.1%
ValueCountFrequency (%)
3473.13 1
0.1%
3391.2 1
0.1%
3048 1
0.1%
2855 1
0.1%
2766.28 1
0.1%

p_proteina2
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)50.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean16
Minimum10
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:52.579955image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile11.05
Q114
median15
Q317.75
95-th percentile21.85
Maximum25
Range15
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation3.450327797
Coefficient of variation (CV)0.2156454873
Kurtosis1.156278568
Mean16
Median Absolute Deviation (MAD)2
Skewness0.7115845637
Sum352
Variance11.9047619
MonotonicityNot monotonic
2024-05-04T15:23:52.746810image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
15 5
 
0.5%
17 4
 
0.4%
14 3
 
0.3%
19 2
 
0.2%
18 2
 
0.2%
11 1
 
0.1%
10 1
 
0.1%
12 1
 
0.1%
25 1
 
0.1%
13 1
 
0.1%
(Missing) 1001
97.8%
ValueCountFrequency (%)
10 1
 
0.1%
11 1
 
0.1%
12 1
 
0.1%
13 1
 
0.1%
14 3
0.3%
ValueCountFrequency (%)
25 1
 
0.1%
22 1
 
0.1%
19 2
0.2%
18 2
0.2%
17 4
0.4%

p_HC2
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)68.2%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean57.90909091
Minimum39
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:52.896050image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile47.05
Q153
median59
Q363
95-th percentile66.95
Maximum69
Range30
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.633941071
Coefficient of variation (CV)0.1318262979
Kurtosis0.2188969026
Mean57.90909091
Median Absolute Deviation (MAD)4
Skewness-0.8362204586
Sum1274
Variance58.27705628
MonotonicityNot monotonic
2024-05-04T15:23:53.035707image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
63 4
 
0.4%
59 3
 
0.3%
48 2
 
0.2%
58 2
 
0.2%
62 1
 
0.1%
69 1
 
0.1%
60 1
 
0.1%
47 1
 
0.1%
50 1
 
0.1%
39 1
 
0.1%
Other values (5) 5
 
0.5%
(Missing) 1001
97.8%
ValueCountFrequency (%)
39 1
0.1%
47 1
0.1%
48 2
0.2%
50 1
0.1%
52 1
0.1%
ValueCountFrequency (%)
69 1
 
0.1%
67 1
 
0.1%
66 1
 
0.1%
65 1
 
0.1%
63 4
0.4%

p_lipidos2
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)68.2%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean26.22727273
Minimum15
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:53.185127image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile17.05
Q122
median26
Q330.75
95-th percentile36
Maximum40
Range25
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation6.668560337
Coefficient of variation (CV)0.2542605328
Kurtosis-0.5210099303
Mean26.22727273
Median Absolute Deviation (MAD)4.5
Skewness0.3599853585
Sum577
Variance44.46969697
MonotonicityNot monotonic
2024-05-04T15:23:53.329798image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
23 3
 
0.3%
26 2
 
0.2%
36 2
 
0.2%
27 2
 
0.2%
22 2
 
0.2%
31 2
 
0.2%
21 1
 
0.1%
40 1
 
0.1%
28 1
 
0.1%
35 1
 
0.1%
Other values (5) 5
 
0.5%
(Missing) 1001
97.8%
ValueCountFrequency (%)
15 1
0.1%
17 1
0.1%
18 1
0.1%
20 1
0.1%
21 1
0.1%
ValueCountFrequency (%)
40 1
0.1%
36 2
0.2%
35 1
0.1%
31 2
0.2%
30 1
0.1%

Folato_R24Hmcg2
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean419.2390909
Minimum167.25
Maximum911.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:53.473143image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum167.25
5-th percentile196.858
Q1299.935
median386.425
Q3454.36
95-th percentile744.0675
Maximum911.58
Range744.33
Interquartile range (IQR)154.425

Descriptive statistics

Standard deviation192.4092631
Coefficient of variation (CV)0.4589487652
Kurtosis0.8974268921
Mean419.2390909
Median Absolute Deviation (MAD)85.625
Skewness1.164886189
Sum9223.26
Variance37021.32453
MonotonicityNot monotonic
2024-05-04T15:23:53.625660image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
745.11 1
 
0.1%
394.4 1
 
0.1%
455.78 1
 
0.1%
911.58 1
 
0.1%
301.2 1
 
0.1%
239.76 1
 
0.1%
724.26 1
 
0.1%
194.6 1
 
0.1%
436.31 1
 
0.1%
446.51 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
167.25 1
0.1%
194.6 1
0.1%
239.76 1
0.1%
250.59 1
0.1%
273.98 1
0.1%
ValueCountFrequency (%)
911.58 1
0.1%
745.11 1
0.1%
724.26 1
0.1%
702.48 1
0.1%
458.07 1
0.1%

DFE_R24H2
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean500.8090909
Minimum245.02
Maximum1240.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:53.785902image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum245.02
5-th percentile254.8085
Q1305.975
median424.38
Q3561.485
95-th percentile1008.4575
Maximum1240.47
Range995.45
Interquartile range (IQR)255.51

Descriptive statistics

Standard deviation270.5518245
Coefficient of variation (CV)0.5402294596
Kurtosis1.760726386
Mean500.8090909
Median Absolute Deviation (MAD)124.36
Skewness1.52906825
Sum11017.8
Variance73198.28976
MonotonicityNot monotonic
2024-05-04T15:23:53.940188image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1010 1
 
0.1%
425.9 1
 
0.1%
574.5 1
 
0.1%
1240.47 1
 
0.1%
367.7 1
 
0.1%
294.84 1
 
0.1%
762.89 1
 
0.1%
254 1
 
0.1%
449.14 1
 
0.1%
600.9 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
245.02 1
0.1%
254 1
0.1%
270.17 1
0.1%
271.2 1
0.1%
294.84 1
0.1%
ValueCountFrequency (%)
1240.47 1
0.1%
1010 1
0.1%
979.15 1
0.1%
762.89 1
0.1%
600.9 1
0.1%

AcFolico_supl2
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)4.8%
Missing1002
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:54.077248image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum21
Variance0
MonotonicityIncreasing
2024-05-04T15:23:54.194891image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 21
 
2.1%
(Missing) 1002
97.9%
ValueCountFrequency (%)
1 21
2.1%
ValueCountFrequency (%)
1 21
2.1%

AcFolico_marca2
Text

MISSING 

Distinct11
Distinct (%)52.4%
Missing1002
Missing (%)97.9%
Memory size8.1 KiB
2024-05-04T15:23:54.336561image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length17
Median length9
Mean length9.19047619
Min length3

Characters and Unicode

Total characters193
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)33.3%

Sample

1st rowMaterna
2nd rowNatele
3rd rowNatele
4th rowMaterna
5th rowNanavit/folivital
ValueCountFrequency (%)
natele 6
28.6%
materna 4
19.0%
folivital 3
14.3%
nanavit/folivital 2
 
9.5%
seguro-popular 1
 
4.8%
cilocid 1
 
4.8%
ssa 1
 
4.8%
folivital/natelle 1
 
4.8%
natele,-folivital 1
 
4.8%
autrin600 1
 
4.8%
2024-05-04T15:23:54.676835image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 28
14.5%
l 25
13.0%
t 22
11.4%
e 21
10.9%
i 19
9.8%
N 10
 
5.2%
o 10
 
5.2%
v 9
 
4.7%
n 7
 
3.6%
r 7
 
3.6%
Other values (17) 35
18.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 193
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 28
14.5%
l 25
13.0%
t 22
11.4%
e 21
10.9%
i 19
9.8%
N 10
 
5.2%
o 10
 
5.2%
v 9
 
4.7%
n 7
 
3.6%
r 7
 
3.6%
Other values (17) 35
18.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 193
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 28
14.5%
l 25
13.0%
t 22
11.4%
e 21
10.9%
i 19
9.8%
N 10
 
5.2%
o 10
 
5.2%
v 9
 
4.7%
n 7
 
3.6%
r 7
 
3.6%
Other values (17) 35
18.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 193
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 28
14.5%
l 25
13.0%
t 22
11.4%
e 21
10.9%
i 19
9.8%
N 10
 
5.2%
o 10
 
5.2%
v 9
 
4.7%
n 7
 
3.6%
r 7
 
3.6%
Other values (17) 35
18.1%

AcFsup_dosis_mg2
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)23.8%
Missing1002
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean0.9238095238
Minimum0.4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:54.821386image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.4
Q10.6
median0.6
Q31
95-th percentile1
Maximum5
Range4.6
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.9663874802
Coefficient of variation (CV)1.04608954
Kurtosis17.90507668
Mean0.9238095238
Median Absolute Deviation (MAD)0.2
Skewness4.090731432
Sum19.4
Variance0.9339047619
MonotonicityNot monotonic
2024-05-04T15:23:54.956513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 8
 
0.8%
0.6 6
 
0.6%
0.4 5
 
0.5%
5 1
 
0.1%
0.8 1
 
0.1%
(Missing) 1002
97.9%
ValueCountFrequency (%)
0.4 5
0.5%
0.6 6
0.6%
0.8 1
 
0.1%
1 8
0.8%
5 1
 
0.1%
ValueCountFrequency (%)
5 1
 
0.1%
1 8
0.8%
0.8 1
 
0.1%
0.6 6
0.6%
0.4 5
0.5%

Multi0_acfol1_3
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)9.5%
Missing1002
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean0.3333333333
Minimum0
Maximum1
Zeros14
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:55.080225image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4830458915
Coefficient of variation (CV)1.449137675
Kurtosis-1.578947368
Mean0.3333333333
Median Absolute Deviation (MAD)0
Skewness0.7627040393
Sum7
Variance0.2333333333
MonotonicityNot monotonic
2024-05-04T15:23:55.214833image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 14
 
1.4%
1 7
 
0.7%
(Missing) 1002
97.9%
ValueCountFrequency (%)
0 14
1.4%
1 7
0.7%
ValueCountFrequency (%)
1 7
0.7%
0 14
1.4%

Peso_2av
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean69.28636364
Minimum51
Maximum92.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:55.357995image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile53.655
Q163.575
median69.15
Q375.075
95-th percentile80.475
Maximum92.4
Range41.4
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation9.63852861
Coefficient of variation (CV)0.1391114803
Kurtosis0.4684213437
Mean69.28636364
Median Absolute Deviation (MAD)6.05
Skewness0.1389973599
Sum1524.3
Variance92.90123377
MonotonicityNot monotonic
2024-05-04T15:23:55.503192image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
73.8 1
 
0.1%
56.6 1
 
0.1%
76.6 1
 
0.1%
73 1
 
0.1%
61.1 1
 
0.1%
53.5 1
 
0.1%
63.1 1
 
0.1%
80.5 1
 
0.1%
59.6 1
 
0.1%
69.3 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
51 1
0.1%
53.5 1
0.1%
56.6 1
0.1%
59.6 1
0.1%
61.1 1
0.1%
ValueCountFrequency (%)
92.4 1
0.1%
80.5 1
0.1%
80 1
0.1%
76.6 1
0.1%
76.5 1
0.1%

Talla_2av
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean1.578909091
Minimum1.495
Maximum1.665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:55.639689image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.495
5-th percentile1.5131
Q11.54125
median1.5815
Q31.623
95-th percentile1.63985
Maximum1.665
Range0.17
Interquartile range (IQR)0.08175

Descriptive statistics

Standard deviation0.04788668081
Coefficient of variation (CV)0.03032896643
Kurtosis-1.063154191
Mean1.578909091
Median Absolute Deviation (MAD)0.044
Skewness0.01157012389
Sum34.736
Variance0.002293134199
MonotonicityNot monotonic
2024-05-04T15:23:55.789294image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.63 3
 
0.3%
1.6 2
 
0.2%
1.55 1
 
0.1%
1.561 1
 
0.1%
1.573 1
 
0.1%
1.53 1
 
0.1%
1.54 1
 
0.1%
1.515 1
 
0.1%
1.495 1
 
0.1%
1.513 1
 
0.1%
Other values (9) 9
 
0.9%
(Missing) 1001
97.8%
ValueCountFrequency (%)
1.495 1
0.1%
1.513 1
0.1%
1.515 1
0.1%
1.53 1
0.1%
1.535 1
0.1%
ValueCountFrequency (%)
1.665 1
 
0.1%
1.64 1
 
0.1%
1.637 1
 
0.1%
1.63 3
0.3%
1.602 1
 
0.1%

CMB_2av
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean28.98181818
Minimum23.5
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:55.939123image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum23.5
5-th percentile23.6
Q127.575
median29.15
Q330.825
95-th percentile32.095
Maximum35
Range11.5
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.760544522
Coefficient of variation (CV)0.09525090887
Kurtosis0.4450220238
Mean28.98181818
Median Absolute Deviation (MAD)1.7
Skewness-0.1978577386
Sum637.6
Variance7.620606061
MonotonicityNot monotonic
2024-05-04T15:23:56.105134image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
29.5 3
 
0.3%
23.5 2
 
0.2%
31.8 1
 
0.1%
25.5 1
 
0.1%
30.6 1
 
0.1%
29 1
 
0.1%
28 1
 
0.1%
35 1
 
0.1%
27.3 1
 
0.1%
29.2 1
 
0.1%
Other values (9) 9
 
0.9%
(Missing) 1001
97.8%
ValueCountFrequency (%)
23.5 2
0.2%
25.5 1
0.1%
26.5 1
0.1%
27.3 1
0.1%
27.5 1
0.1%
ValueCountFrequency (%)
35 1
0.1%
32.1 1
0.1%
32 1
0.1%
31.8 1
0.1%
31 1
0.1%

PCT_2av
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)81.8%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean31.04545455
Minimum20
Maximum48.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:56.250050image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile23
Q125.25
median31
Q334.5
95-th percentile42.825
Maximum48.5
Range28.5
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation7.122915887
Coefficient of variation (CV)0.2294350652
Kurtosis0.2665296839
Mean31.04545455
Median Absolute Deviation (MAD)5
Skewness0.6766646078
Sum683
Variance50.73593074
MonotonicityNot monotonic
2024-05-04T15:23:56.392245image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
23 2
 
0.2%
34.5 2
 
0.2%
31 2
 
0.2%
24 2
 
0.2%
39.5 1
 
0.1%
43 1
 
0.1%
26 1
 
0.1%
38 1
 
0.1%
20 1
 
0.1%
29 1
 
0.1%
Other values (8) 8
 
0.8%
(Missing) 1001
97.8%
ValueCountFrequency (%)
20 1
0.1%
23 2
0.2%
24 2
0.2%
25 1
0.1%
26 1
0.1%
ValueCountFrequency (%)
48.5 1
0.1%
43 1
0.1%
39.5 1
0.1%
38 1
0.1%
36 1
0.1%

estado2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing35
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean0.5070850202
Minimum0
Maximum1
Zeros487
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:56.529920image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5002030032
Coefficient of variation (CV)0.9864282778
Kurtosis-2.003253512
Mean0.5070850202
Median Absolute Deviation (MAD)0
Skewness-0.02838604101
Sum501
Variance0.2502030444
MonotonicityNot monotonic
2024-05-04T15:23:56.662061image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 501
49.0%
0 487
47.6%
(Missing) 35
 
3.4%
ValueCountFrequency (%)
0 487
47.6%
1 501
49.0%
ValueCountFrequency (%)
1 501
49.0%
0 487
47.6%

sup_acfol2
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)0.6%
Missing710
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.9936102236
Minimum0
Maximum1
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:56.795395image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0798078712
Coefficient of variation (CV)0.0803211051
Kurtosis153.9742145
Mean0.9936102236
Median Absolute Deviation (MAD)0
Skewness-12.44951302
Sum311
Variance0.006369296305
MonotonicityNot monotonic
2024-05-04T15:23:56.933958image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 311
30.4%
0 2
 
0.2%
(Missing) 710
69.4%
ValueCountFrequency (%)
0 2
 
0.2%
1 311
30.4%
ValueCountFrequency (%)
1 311
30.4%
0 2
 
0.2%

acfol_dosis2
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)1.5%
Missing827
Missing (%)80.8%
Infinite0
Infinite (%)0.0%
Mean1.066326531
Minimum0
Maximum2
Zeros60
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:57.062912image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8231825517
Coefficient of variation (CV)0.7719798092
Kurtosis-1.514356564
Mean1.066326531
Median Absolute Deviation (MAD)1
Skewness-0.1239965146
Sum209
Variance0.6776295133
MonotonicityNot monotonic
2024-05-04T15:23:57.211631image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 73
 
7.1%
1 63
 
6.2%
0 60
 
5.9%
(Missing) 827
80.8%
ValueCountFrequency (%)
0 60
5.9%
1 63
6.2%
2 73
7.1%
ValueCountFrequency (%)
2 73
7.1%
1 63
6.2%
0 60
5.9%

supl_temp
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)1.1%
Missing846
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean0.1073446328
Minimum0
Maximum1
Zeros158
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:57.352683image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.310429065
Coefficient of variation (CV)2.891891816
Kurtosis4.598631979
Mean0.1073446328
Median Absolute Deviation (MAD)0
Skewness2.558670575
Sum19
Variance0.09636620442
MonotonicityNot monotonic
2024-05-04T15:23:57.488618image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 158
 
15.4%
1 19
 
1.9%
(Missing) 846
82.7%
ValueCountFrequency (%)
0 158
15.4%
1 19
 
1.9%
ValueCountFrequency (%)
1 19
 
1.9%
0 158
15.4%

homab_dx
Real number (ℝ)

MISSING 

Distinct405
Distinct (%)85.8%
Missing551
Missing (%)53.9%
Infinite0
Infinite (%)0.0%
Mean151.5495763
Minimum32.2
Maximum905.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:57.650181image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum32.2
5-th percentile70.375
Q1107.55
median137.2
Q3172.55
95-th percentile264.875
Maximum905.7
Range873.5
Interquartile range (IQR)65

Descriptive statistics

Standard deviation86.70898175
Coefficient of variation (CV)0.5721492853
Kurtosis29.87479309
Mean151.5495763
Median Absolute Deviation (MAD)32.05
Skewness4.408152752
Sum71531.4
Variance7518.447516
MonotonicityNot monotonic
2024-05-04T15:23:57.834667image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
142.9 4
 
0.4%
113 4
 
0.4%
145.6 4
 
0.4%
166 3
 
0.3%
122.9 3
 
0.3%
128.2 3
 
0.3%
72.2 3
 
0.3%
140.8 3
 
0.3%
128.3 3
 
0.3%
145.4 3
 
0.3%
Other values (395) 439
42.9%
(Missing) 551
53.9%
ValueCountFrequency (%)
32.2 1
0.1%
36.3 1
0.1%
42 1
0.1%
46.8 1
0.1%
47.3 1
0.1%
ValueCountFrequency (%)
905.7 1
0.1%
852.6 1
0.1%
750.9 1
0.1%
728.1 1
0.1%
503.2 1
0.1%

homas_dx
Real number (ℝ)

MISSING 

Distinct393
Distinct (%)83.3%
Missing551
Missing (%)53.9%
Infinite0
Infinite (%)0.0%
Mean83.82902542
Minimum4.9
Maximum380.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:58.017445image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.9
5-th percentile25.365
Q149.775
median71.15
Q3105
95-th percentile178.59
Maximum380.3
Range375.4
Interquartile range (IQR)55.225

Descriptive statistics

Standard deviation52.23339693
Coefficient of variation (CV)0.6230944075
Kurtosis4.725769462
Mean83.82902542
Median Absolute Deviation (MAD)26.95
Skewness1.745714231
Sum39567.3
Variance2728.327754
MonotonicityNot monotonic
2024-05-04T15:23:58.655298image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.6 3
 
0.3%
71.1 3
 
0.3%
69.9 3
 
0.3%
41.7 3
 
0.3%
52.8 3
 
0.3%
45.4 3
 
0.3%
99 3
 
0.3%
63 3
 
0.3%
62.3 3
 
0.3%
105 3
 
0.3%
Other values (383) 442
43.2%
(Missing) 551
53.9%
ValueCountFrequency (%)
4.9 1
0.1%
6.4 1
0.1%
6.7 1
0.1%
7.1 1
0.1%
9.5 1
0.1%
ValueCountFrequency (%)
380.3 1
0.1%
351.3 1
0.1%
281.9 1
0.1%
276.5 1
0.1%
270.9 1
0.1%

homair_dx
Real number (ℝ)

MISSING 

Distinct393
Distinct (%)83.3%
Missing551
Missing (%)53.9%
Infinite0
Infinite (%)0.0%
Mean1.800727977
Minimum0.2629503
Maximum20.408163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:58.844563image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.2629503
5-th percentile0.55994194
Q10.95238095
median1.4054821
Q32.009042175
95-th percentile3.94257703
Maximum20.408163
Range20.1452127
Interquartile range (IQR)1.056661225

Descriptive statistics

Standard deviation1.794755378
Coefficient of variation (CV)0.9966832307
Kurtosis43.01109895
Mean1.800727977
Median Absolute Deviation (MAD)0.48951316
Skewness5.57858281
Sum849.9436053
Variance3.221146867
MonotonicityNot monotonic
2024-05-04T15:23:59.050643image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5252525 3
 
0.3%
1.4064698 3
 
0.3%
1.4306152 3
 
0.3%
2.3980815 3
 
0.3%
1.8939394 3
 
0.3%
2.2026432 3
 
0.3%
1.010101 3
 
0.3%
1.5873016 3
 
0.3%
1.6051364 3
 
0.3%
0.95238095 3
 
0.3%
Other values (383) 442
43.2%
(Missing) 551
53.9%
ValueCountFrequency (%)
0.2629503 1
0.1%
0.28465699 1
0.1%
0.35473572 1
0.1%
0.36166365 1
0.1%
0.3691399 1
0.1%
ValueCountFrequency (%)
20.408163 1
0.1%
15.625 1
0.1%
14.925373 1
0.1%
14.084507 1
0.1%
10.526316 1
0.1%

homab_pp
Real number (ℝ)

MISSING 

Distinct183
Distinct (%)84.7%
Missing807
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean76.41296296
Minimum14
Maximum570.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:59.246922image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile32.425
Q149.125
median68.55
Q392.625
95-th percentile135.825
Maximum570.7
Range556.7
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation47.84776361
Coefficient of variation (CV)0.6261733841
Kurtosis52.75318363
Mean76.41296296
Median Absolute Deviation (MAD)20.95
Skewness5.55049964
Sum16505.2
Variance2289.408482
MonotonicityNot monotonic
2024-05-04T15:23:59.430229image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52.6 3
 
0.3%
40.1 3
 
0.3%
31.6 3
 
0.3%
51.4 3
 
0.3%
53.3 2
 
0.2%
71.4 2
 
0.2%
124.7 2
 
0.2%
107.1 2
 
0.2%
68.4 2
 
0.2%
74.4 2
 
0.2%
Other values (173) 192
 
18.8%
(Missing) 807
78.9%
ValueCountFrequency (%)
14 1
0.1%
19.3 1
0.1%
21.4 1
0.1%
26.8 1
0.1%
28.6 1
0.1%
ValueCountFrequency (%)
570.7 1
0.1%
233.2 1
0.1%
194.6 1
0.1%
183.3 1
0.1%
171.8 1
0.1%

homas_pp
Real number (ℝ)

MISSING 

Distinct194
Distinct (%)89.8%
Missing807
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean138.7944444
Minimum13.2
Maximum382.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:23:59.615974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum13.2
5-th percentile36.475
Q179.3
median129.4
Q3214.875
95-th percentile234.075
Maximum382.1
Range368.9
Interquartile range (IQR)135.575

Descriptive statistics

Standard deviation73.4141889
Coefficient of variation (CV)0.5289418405
Kurtosis-0.532830377
Mean138.7944444
Median Absolute Deviation (MAD)61.6
Skewness0.3632743135
Sum29979.6
Variance5389.643132
MonotonicityNot monotonic
2024-05-04T15:23:59.816350image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
231.9 3
 
0.3%
224.3 3
 
0.3%
231.2 3
 
0.3%
230.6 2
 
0.2%
217.5 2
 
0.2%
88.5 2
 
0.2%
228.2 2
 
0.2%
225.4 2
 
0.2%
157.6 2
 
0.2%
234.6 2
 
0.2%
Other values (184) 193
 
18.9%
(Missing) 807
78.9%
ValueCountFrequency (%)
13.2 1
0.1%
15.7 1
0.1%
23.5 1
0.1%
25.4 1
0.1%
25.5 1
0.1%
ValueCountFrequency (%)
382.1 1
0.1%
352.7 1
0.1%
309.9 1
0.1%
283.8 2
0.2%
275.1 1
0.1%

homair_pp
Real number (ℝ)

MISSING 

Distinct194
Distinct (%)89.8%
Missing807
Missing (%)78.9%
Infinite0
Infinite (%)0.0%
Mean1.090715912
Minimum0.26171159
Maximum7.5757576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:00.015965image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.26171159
5-th percentile0.4272142125
Q10.4653910925
median0.772814145
Q31.26104005
95-th percentile2.741701075
Maximum7.5757576
Range7.31404601
Interquartile range (IQR)0.7956489575

Descriptive statistics

Standard deviation0.9519722958
Coefficient of variation (CV)0.8727958263
Kurtosis14.19896077
Mean1.090715912
Median Absolute Deviation (MAD)0.323829085
Skewness3.108574342
Sum235.594637
Variance0.9062512519
MonotonicityNot monotonic
2024-05-04T15:24:00.220220image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.43122035 3
 
0.3%
0.44583148 3
 
0.3%
0.43252595 3
 
0.3%
0.43365134 2
 
0.2%
0.45977011 2
 
0.2%
1.1299435 2
 
0.2%
0.43821209 2
 
0.2%
0.44365572 2
 
0.2%
0.63451777 2
 
0.2%
0.42625746 2
 
0.2%
Other values (184) 193
 
18.9%
(Missing) 807
78.9%
ValueCountFrequency (%)
0.26171159 1
0.1%
0.28352708 1
0.1%
0.32268474 1
0.1%
0.35236082 2
0.2%
0.36350418 1
0.1%
ValueCountFrequency (%)
7.5757576 1
0.1%
6.3694268 1
0.1%
4.2553191 1
0.1%
3.9370079 1
0.1%
3.9215686 1
0.1%

homab_1av
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean113.996
Minimum68.5
Maximum245.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:00.387550image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum68.5
5-th percentile72.58
Q186.5
median113.9
Q3126
95-th percentile159.96
Maximum245.5
Range177
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation39.58892396
Coefficient of variation (CV)0.3472834482
Kurtosis3.73372811
Mean113.996
Median Absolute Deviation (MAD)27.4
Skewness1.584264118
Sum2849.9
Variance1567.2829
MonotonicityNot monotonic
2024-05-04T15:24:00.543403image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
79.8 1
 
0.1%
71.4 1
 
0.1%
92.6 1
 
0.1%
93.5 1
 
0.1%
88.9 1
 
0.1%
86.7 1
 
0.1%
78.2 1
 
0.1%
161.3 1
 
0.1%
79.2 1
 
0.1%
113.9 1
 
0.1%
Other values (15) 15
 
1.5%
(Missing) 998
97.6%
ValueCountFrequency (%)
68.5 1
0.1%
71.4 1
0.1%
77.3 1
0.1%
78.2 1
0.1%
79.2 1
0.1%
ValueCountFrequency (%)
245.5 1
0.1%
161.3 1
0.1%
154.6 1
0.1%
153.2 1
0.1%
149.9 1
0.1%

homas_1av
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean94.14
Minimum28.6
Maximum174.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:00.695025image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum28.6
5-th percentile38.14
Q170.8
median95.3
Q3112.5
95-th percentile145.74
Maximum174.7
Range146.1
Interquartile range (IQR)41.7

Descriptive statistics

Standard deviation37.75037527
Coefficient of variation (CV)0.4010024992
Kurtosis-0.5293376638
Mean94.14
Median Absolute Deviation (MAD)24.5
Skewness0.1925323493
Sum2353.5
Variance1425.090833
MonotonicityNot monotonic
2024-05-04T15:24:00.851768image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
139.5 1
 
0.1%
137.5 1
 
0.1%
91 1
 
0.1%
133.5 1
 
0.1%
107 1
 
0.1%
143.5 1
 
0.1%
112.5 1
 
0.1%
41.1 1
 
0.1%
106.8 1
 
0.1%
77.2 1
 
0.1%
Other values (15) 15
 
1.5%
(Missing) 998
97.6%
ValueCountFrequency (%)
28.6 1
0.1%
37.4 1
0.1%
41.1 1
0.1%
48.7 1
0.1%
59.3 1
0.1%
ValueCountFrequency (%)
174.7 1
0.1%
146.3 1
0.1%
143.5 1
0.1%
139.5 1
0.1%
137.5 1
0.1%

homair_1av
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean1.298761467
Minimum0.57240985
Maximum3.4965035
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:01.019722image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.57240985
5-th percentile0.686194422
Q10.88888889
median1.0493179
Q31.4124294
95-th percentile2.62565544
Maximum3.4965035
Range2.92409365
Interquartile range (IQR)0.52354051

Descriptive statistics

Standard deviation0.7029702428
Coefficient of variation (CV)0.5412620106
Kurtosis3.133086991
Mean1.298761467
Median Absolute Deviation (MAD)0.32204517
Skewness1.75901976
Sum32.46903667
Variance0.4941671623
MonotonicityNot monotonic
2024-05-04T15:24:01.193787image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.71684588 1
 
0.1%
0.72727273 1
 
0.1%
1.0989011 1
 
0.1%
0.74906367 1
 
0.1%
0.93457944 1
 
0.1%
0.69686411 1
 
0.1%
0.88888889 1
 
0.1%
2.43309 1
 
0.1%
0.93632959 1
 
0.1%
1.2953368 1
 
0.1%
Other values (15) 15
 
1.5%
(Missing) 998
97.6%
ValueCountFrequency (%)
0.57240985 1
0.1%
0.683527 1
0.1%
0.69686411 1
0.1%
0.71684588 1
0.1%
0.72727273 1
0.1%
ValueCountFrequency (%)
3.4965035 1
0.1%
2.6737968 1
0.1%
2.43309 1
0.1%
2.0533881 1
0.1%
1.6863406 1
0.1%

irs12rs19
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing30
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean0.4360523666
Minimum0
Maximum1
Zeros560
Zeros (%)54.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:01.342270image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4961437232
Coefficient of variation (CV)1.137807661
Kurtosis-1.937187431
Mean0.4360523666
Median Absolute Deviation (MAD)0
Skewness0.258298905
Sum433
Variance0.246158594
MonotonicityNot monotonic
2024-05-04T15:24:01.478532image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 560
54.7%
1 433
42.3%
(Missing) 30
 
2.9%
ValueCountFrequency (%)
0 560
54.7%
1 433
42.3%
ValueCountFrequency (%)
1 433
42.3%
0 560
54.7%

irs12rs19a
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)0.4%
Missing30
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean1.29204431
Minimum0
Maximum4
Zeros344
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:01.609279image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.47126617
Coefficient of variation (CV)1.138711853
Kurtosis-0.3679768495
Mean1.29204431
Median Absolute Deviation (MAD)1
Skewness1.078354003
Sum1283
Variance2.164624143
MonotonicityNot monotonic
2024-05-04T15:24:01.759667image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 433
42.3%
0 344
33.6%
4 209
20.4%
2 7
 
0.7%
(Missing) 30
 
2.9%
ValueCountFrequency (%)
0 344
33.6%
1 433
42.3%
2 7
 
0.7%
4 209
20.4%
ValueCountFrequency (%)
4 209
20.4%
2 7
 
0.7%
1 433
42.3%
0 344
33.6%

datospp
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean0.1252485089
Minimum0
Maximum1
Zeros880
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:01.912186image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3311651192
Coefficient of variation (CV)2.644064365
Kurtosis3.148895906
Mean0.1252485089
Median Absolute Deviation (MAD)0
Skewness2.267738878
Sum126
Variance0.1096703362
MonotonicityNot monotonic
2024-05-04T15:24:02.052097image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 880
86.0%
1 126
 
12.3%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
0 880
86.0%
1 126
 
12.3%
ValueCountFrequency (%)
1 126
 
12.3%
0 880
86.0%

pcambiog
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)92.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean95.004698
Minimum82.14286
Maximum107.4074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:02.194952image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum82.14286
5-th percentile83.891106
Q191.30434
median94.62366
Q3100
95-th percentile105.08754
Maximum107.4074
Range25.26454
Interquartile range (IQR)8.69566

Descriptive statistics

Standard deviation6.461155109
Coefficient of variation (CV)0.06800879583
Kurtosis-0.2456228636
Mean95.004698
Median Absolute Deviation (MAD)3.71457
Skewness-0.01774639036
Sum2375.11745
Variance41.74652534
MonotonicityNot monotonic
2024-05-04T15:24:02.345591image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
100 3
 
0.3%
98.86364 1
 
0.1%
91.39785 1
 
0.1%
91.48936 1
 
0.1%
104.8193 1
 
0.1%
82.14286 1
 
0.1%
88.42105 1
 
0.1%
96.875 1
 
0.1%
96.66666 1
 
0.1%
92.04546 1
 
0.1%
Other values (13) 13
 
1.3%
(Missing) 998
97.6%
ValueCountFrequency (%)
82.14286 1
0.1%
82.75862 1
0.1%
88.42105 1
0.1%
88.63636 1
0.1%
90.90909 1
0.1%
ValueCountFrequency (%)
107.4074 1
 
0.1%
105.1546 1
 
0.1%
104.8193 1
 
0.1%
102.2989 1
 
0.1%
100 3
0.3%

acfol_dosis3
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)1.0%
Missing827
Missing (%)80.8%
Infinite0
Infinite (%)0.0%
Mean1.515306122
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:02.482369image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5010454794
Coefficient of variation (CV)0.330656276
Kurtosis-2.016875933
Mean1.515306122
Median Absolute Deviation (MAD)0
Skewness-0.06172660231
Sum297
Variance0.2510465725
MonotonicityNot monotonic
2024-05-04T15:24:02.618926image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 101
 
9.9%
1 95
 
9.3%
(Missing) 827
80.8%
ValueCountFrequency (%)
1 95
9.3%
2 101
9.9%
ValueCountFrequency (%)
2 101
9.9%
1 95
9.3%

acfol_dosis4
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)1.0%
Missing827
Missing (%)80.8%
Infinite0
Infinite (%)0.0%
Mean0.693877551
Minimum0
Maximum1
Zeros60
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:02.756763image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4620614515
Coefficient of variation (CV)0.6659120918
Kurtosis-1.294487631
Mean0.693877551
Median Absolute Deviation (MAD)0
Skewness-0.8478365293
Sum136
Variance0.2135007849
MonotonicityNot monotonic
2024-05-04T15:24:02.897551image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 136
 
13.3%
0 60
 
5.9%
(Missing) 827
80.8%
ValueCountFrequency (%)
0 60
5.9%
1 136
13.3%
ValueCountFrequency (%)
1 136
13.3%
0 60
5.9%

multi_af
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)2.4%
Missing939
Missing (%)91.8%
Infinite0
Infinite (%)0.0%
Mean0.5357142857
Minimum0
Maximum1
Zeros39
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:03.032282image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5017182181
Coefficient of variation (CV)0.9365406738
Kurtosis-2.027594407
Mean0.5357142857
Median Absolute Deviation (MAD)0
Skewness-0.1458402925
Sum45
Variance0.2517211704
MonotonicityNot monotonic
2024-05-04T15:24:03.165341image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 45
 
4.4%
0 39
 
3.8%
(Missing) 939
91.8%
ValueCountFrequency (%)
0 39
3.8%
1 45
4.4%
ValueCountFrequency (%)
1 45
4.4%
0 39
3.8%

rs1801133_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean1.114656032
Minimum0
Maximum2
Zeros199
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:03.293113image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7062697236
Coefficient of variation (CV)0.6336212279
Kurtosis-0.9906571465
Mean1.114656032
Median Absolute Deviation (MAD)1
Skewness-0.1658587938
Sum1118
Variance0.4988169225
MonotonicityNot monotonic
2024-05-04T15:24:03.446342image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 490
47.9%
2 314
30.7%
0 199
19.5%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 199
19.5%
1 490
47.9%
2 314
30.7%
ValueCountFrequency (%)
2 314
30.7%
1 490
47.9%
0 199
19.5%

irs180113
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing26
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean0.1344032096
Minimum0
Maximum2
Zeros864
Zeros (%)84.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:03.585611image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3441857423
Coefficient of variation (CV)2.560844665
Kurtosis3.216732452
Mean0.1344032096
Median Absolute Deviation (MAD)0
Skewness2.220748157
Sum134
Variance0.1184638252
MonotonicityNot monotonic
2024-05-04T15:24:03.726766image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 864
84.5%
1 132
 
12.9%
2 1
 
0.1%
(Missing) 26
 
2.5%
ValueCountFrequency (%)
0 864
84.5%
1 132
 
12.9%
2 1
 
0.1%
ValueCountFrequency (%)
2 1
 
0.1%
1 132
 
12.9%
0 864
84.5%

lnpgn_dx
Real number (ℝ)

MISSING 

Distinct151
Distinct (%)99.3%
Missing871
Missing (%)85.1%
Infinite0
Infinite (%)0.0%
Mean5.084426618
Minimum4.032292
Maximum5.921203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:03.913013image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.032292
5-th percentile4.343559
Q14.8357825
median5.0976995
Q35.35178675
95-th percentile5.81527735
Maximum5.921203
Range1.888911
Interquartile range (IQR)0.51600425

Descriptive statistics

Standard deviation0.4137179127
Coefficient of variation (CV)0.08136962999
Kurtosis-0.2911822861
Mean5.084426618
Median Absolute Deviation (MAD)0.2579505
Skewness-0.1777768609
Sum772.832846
Variance0.1711625113
MonotonicityNot monotonic
2024-05-04T15:24:04.132451image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.909562 2
 
0.2%
4.819475 1
 
0.1%
5.116016 1
 
0.1%
4.343676 1
 
0.1%
5.852317 1
 
0.1%
5.818271 1
 
0.1%
5.577765 1
 
0.1%
5.814727 1
 
0.1%
4.757032 1
 
0.1%
5.274024 1
 
0.1%
Other values (141) 141
 
13.8%
(Missing) 871
85.1%
ValueCountFrequency (%)
4.032292 1
0.1%
4.132122 1
0.1%
4.238156 1
0.1%
4.258304 1
0.1%
4.301088 1
0.1%
ValueCountFrequency (%)
5.921203 1
0.1%
5.875043 1
0.1%
5.873328 1
0.1%
5.852317 1
0.1%
5.840932 1
0.1%

lne2_dx
Real number (ℝ)

MISSING 

Distinct162
Distinct (%)99.4%
Missing860
Missing (%)84.1%
Infinite0
Infinite (%)0.0%
Mean9.694362264
Minimum7.85721
Maximum11.11588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:04.327551image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum7.85721
5-th percentile8.8575879
Q19.399888
median9.73637
Q310.00807
95-th percentile10.423354
Maximum11.11588
Range3.25867
Interquartile range (IQR)0.608182

Descriptive statistics

Standard deviation0.5231197211
Coefficient of variation (CV)0.05396123095
Kurtosis1.246314857
Mean9.694362264
Median Absolute Deviation (MAD)0.298974
Skewness-0.3196885594
Sum1580.181049
Variance0.2736542426
MonotonicityNot monotonic
2024-05-04T15:24:04.531499image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.460242 2
 
0.2%
9.792947 1
 
0.1%
9.592059 1
 
0.1%
9.594582 1
 
0.1%
9.518414 1
 
0.1%
8.560214 1
 
0.1%
9.267193 1
 
0.1%
8.864139 1
 
0.1%
9.644198 1
 
0.1%
9.833838 1
 
0.1%
Other values (152) 152
 
14.9%
(Missing) 860
84.1%
ValueCountFrequency (%)
7.85721 1
0.1%
7.961998 1
0.1%
8.393849 1
0.1%
8.560214 1
0.1%
8.737822 1
0.1%
ValueCountFrequency (%)
11.11588 1
0.1%
11.10032 1
0.1%
11.09167 1
0.1%
10.78104 1
0.1%
10.55769 1
0.1%

rs1051566_2
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)0.2%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.507984032
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:04.699662image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5001859072
Coefficient of variation (CV)0.3316917797
Kurtosis-2.002978719
Mean1.507984032
Median Absolute Deviation (MAD)0
Skewness-0.03198810636
Sum1511
Variance0.2501859418
MonotonicityNot monotonic
2024-05-04T15:24:04.844791image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 509
49.8%
1 493
48.2%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
1 493
48.2%
2 509
49.8%
ValueCountFrequency (%)
2 509
49.8%
1 493
48.2%

acfol_dosis5
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)1.5%
Missing827
Missing (%)80.8%
Infinite0
Infinite (%)0.0%
Mean1.484693878
Minimum0
Maximum2
Zeros6
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:04.984385image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5590930459
Coefficient of variation (CV)0.3765712612
Kurtosis-0.8174539284
Mean1.484693878
Median Absolute Deviation (MAD)0
Skewness-0.4728665959
Sum291
Variance0.312585034
MonotonicityNot monotonic
2024-05-04T15:24:05.133528image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 101
 
9.9%
1 89
 
8.7%
0 6
 
0.6%
(Missing) 827
80.8%
ValueCountFrequency (%)
0 6
 
0.6%
1 89
8.7%
2 101
9.9%
ValueCountFrequency (%)
2 101
9.9%
1 89
8.7%
0 6
 
0.6%

trim_fol2
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)1.0%
Missing819
Missing (%)80.1%
Infinite0
Infinite (%)0.0%
Mean1.171568627
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:05.272646image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3779325274
Coefficient of variation (CV)0.3225867598
Kurtosis1.091510052
Mean1.171568627
Median Absolute Deviation (MAD)0
Skewness1.755250709
Sum239
Variance0.1428329953
MonotonicityNot monotonic
2024-05-04T15:24:05.413174image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 169
 
16.5%
2 35
 
3.4%
(Missing) 819
80.1%
ValueCountFrequency (%)
1 169
16.5%
2 35
 
3.4%
ValueCountFrequency (%)
2 35
 
3.4%
1 169
16.5%

trim_fol3
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)1.2%
Missing780
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean3.016460905
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:05.548698image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median3
Q33
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5527323429
Coefficient of variation (CV)0.1832386894
Kurtosis0.3142928362
Mean3.016460905
Median Absolute Deviation (MAD)0
Skewness0.008582565439
Sum733
Variance0.3055130429
MonotonicityNot monotonic
2024-05-04T15:24:05.692047image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 169
 
16.5%
4 39
 
3.8%
2 35
 
3.4%
(Missing) 780
76.2%
ValueCountFrequency (%)
2 35
 
3.4%
3 169
16.5%
4 39
 
3.8%
ValueCountFrequency (%)
4 39
 
3.8%
3 169
16.5%
2 35
 
3.4%

FID
Real number (ℝ)

MISSING 

Distinct1006
Distinct (%)100.0%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean538.0934394
Minimum1
Maximum1060
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:05.873015image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile61.25
Q1275.25
median539.5
Q3801.75
95-th percentile1008.75
Maximum1060
Range1059
Interquartile range (IQR)526.5

Descriptive statistics

Standard deviation304.1858446
Coefficient of variation (CV)0.5653030169
Kurtosis-1.191985589
Mean538.0934394
Median Absolute Deviation (MAD)263.5
Skewness-0.01698016867
Sum541322
Variance92529.02808
MonotonicityStrictly increasing
2024-05-04T15:24:06.073085image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
718 1
 
0.1%
705 1
 
0.1%
706 1
 
0.1%
707 1
 
0.1%
708 1
 
0.1%
709 1
 
0.1%
710 1
 
0.1%
711 1
 
0.1%
712 1
 
0.1%
713 1
 
0.1%
Other values (996) 996
97.4%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
ValueCountFrequency (%)
1060 1
0.1%
1059 1
0.1%
1058 1
0.1%
1057 1
0.1%
1056 1
0.1%

PAT
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)0.1%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros1006
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:06.276725image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-05-04T15:24:06.410758image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 1006
98.3%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
0 1006
98.3%
ValueCountFrequency (%)
0 1006
98.3%

MAT
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)0.1%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros1006
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:06.532743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-05-04T15:24:06.662258image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 1006
98.3%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
0 1006
98.3%
ValueCountFrequency (%)
0 1006
98.3%

SEX
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)0.1%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:06.801271image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum2012
Variance0
MonotonicityIncreasing
2024-05-04T15:24:06.928247image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 1006
98.3%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
2 1006
98.3%
ValueCountFrequency (%)
2 1006
98.3%

PHENOTYPE
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)0.3%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean0.5775347913
Minimum-9
Maximum2
Zeros0
Zeros (%)0.0%
Negative86
Negative (%)8.4%
Memory size8.1 KiB
2024-05-04T15:24:07.045961image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-9
Q11
median1
Q32
95-th percentile2
Maximum2
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.968399453
Coefficient of variation (CV)5.139775988
Kurtosis6.343521152
Mean0.5775347913
Median Absolute Deviation (MAD)1
Skewness-2.830870212
Sum581
Variance8.81139531
MonotonicityNot monotonic
2024-05-04T15:24:07.177573image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 485
47.4%
2 435
42.5%
-9 86
 
8.4%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
-9 86
 
8.4%
1 485
47.4%
2 435
42.5%
ValueCountFrequency (%)
2 435
42.5%
1 485
47.4%
-9 86
 
8.4%

rs13007334_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing26
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean0.5466399198
Minimum0
Maximum2
Zeros534
Zeros (%)52.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:07.301838image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6424423495
Coefficient of variation (CV)1.175256922
Kurtosis-0.4615563471
Mean0.5466399198
Median Absolute Deviation (MAD)0
Skewness0.7588433058
Sum545
Variance0.4127321724
MonotonicityNot monotonic
2024-05-04T15:24:07.447956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 534
52.2%
1 381
37.2%
2 82
 
8.0%
(Missing) 26
 
2.5%
ValueCountFrequency (%)
0 534
52.2%
1 381
37.2%
2 82
 
8.0%
ValueCountFrequency (%)
2 82
 
8.0%
1 381
37.2%
0 534
52.2%

rs900400_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing30
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean0.7895266868
Minimum0
Maximum2
Zeros367
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:07.589722image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.696340577
Coefficient of variation (CV)0.8819721849
Kurtosis-0.9268012705
Mean0.7895266868
Median Absolute Deviation (MAD)1
Skewness0.3110586454
Sum784
Variance0.4848901991
MonotonicityNot monotonic
2024-05-04T15:24:07.735847image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 468
45.7%
0 367
35.9%
2 158
 
15.4%
(Missing) 30
 
2.9%
ValueCountFrequency (%)
0 367
35.9%
1 468
45.7%
2 158
 
15.4%
ValueCountFrequency (%)
2 158
 
15.4%
1 468
45.7%
0 367
35.9%

rs724577_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing30
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean0.7573011078
Minimum0
Maximum2
Zeros372
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:07.886861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6693984774
Coefficient of variation (CV)0.8839264469
Kurtosis-0.8044845598
Mean0.7573011078
Median Absolute Deviation (MAD)1
Skewness0.3261153769
Sum752
Variance0.4480943215
MonotonicityNot monotonic
2024-05-04T15:24:08.031701image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 490
47.9%
0 372
36.4%
2 131
 
12.8%
(Missing) 30
 
2.9%
ValueCountFrequency (%)
0 372
36.4%
1 490
47.9%
2 131
 
12.8%
ValueCountFrequency (%)
2 131
 
12.8%
1 490
47.9%
0 372
36.4%

rs6893114_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing25
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean0.6322645291
Minimum0
Maximum2
Zeros468
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:08.176111image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6598083991
Coefficient of variation (CV)1.043563839
Kurtosis-0.6872770176
Mean0.6322645291
Median Absolute Deviation (MAD)1
Skewness0.5649419763
Sum631
Variance0.4353471235
MonotonicityNot monotonic
2024-05-04T15:24:08.314158image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 468
45.7%
1 429
41.9%
2 101
 
9.9%
(Missing) 25
 
2.4%
ValueCountFrequency (%)
0 468
45.7%
1 429
41.9%
2 101
 
9.9%
ValueCountFrequency (%)
2 101
 
9.9%
1 429
41.9%
0 468
45.7%

rs4432842_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing33
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean0.5767676768
Minimum0
Maximum2
Zeros500
Zeros (%)48.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:08.449711image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6388703825
Coefficient of variation (CV)1.107673693
Kurtosis-0.5616696222
Mean0.5767676768
Median Absolute Deviation (MAD)0
Skewness0.6550387159
Sum571
Variance0.4081553656
MonotonicityNot monotonic
2024-05-04T15:24:09.074357image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 500
48.9%
1 409
40.0%
2 81
 
7.9%
(Missing) 33
 
3.2%
ValueCountFrequency (%)
0 500
48.9%
1 409
40.0%
2 81
 
7.9%
ValueCountFrequency (%)
2 81
 
7.9%
1 409
40.0%
0 500
48.9%

rs2560424_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing19
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean0.235059761
Minimum0
Maximum2
Zeros782
Zeros (%)76.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:09.223727image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.455962926
Coefficient of variation (CV)1.939774482
Kurtosis1.851241585
Mean0.235059761
Median Absolute Deviation (MAD)0
Skewness1.685224895
Sum236
Variance0.2079021898
MonotonicityNot monotonic
2024-05-04T15:24:09.367296image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 782
76.4%
1 208
 
20.3%
2 14
 
1.4%
(Missing) 19
 
1.9%
ValueCountFrequency (%)
0 782
76.4%
1 208
 
20.3%
2 14
 
1.4%
ValueCountFrequency (%)
2 14
 
1.4%
1 208
 
20.3%
0 782
76.4%

rs121913223_0
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)0.1%
Missing31
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros992
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:09.515625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-05-04T15:24:09.642066image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 992
97.0%
(Missing) 31
 
3.0%
ValueCountFrequency (%)
0 992
97.0%
ValueCountFrequency (%)
0 992
97.0%

rs6931514_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing41
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean0.6150712831
Minimum0
Maximum2
Zeros475
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:09.768973image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6593613079
Coefficient of variation (CV)1.072007954
Kurtosis-0.6551608062
Mean0.6150712831
Median Absolute Deviation (MAD)1
Skewness0.6076088307
Sum604
Variance0.4347573344
MonotonicityNot monotonic
2024-05-04T15:24:09.920790image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 475
46.4%
1 410
40.1%
2 97
 
9.5%
(Missing) 41
 
4.0%
ValueCountFrequency (%)
0 475
46.4%
1 410
40.1%
2 97
 
9.5%
ValueCountFrequency (%)
2 97
 
9.5%
1 410
40.1%
0 475
46.4%

rs6558702_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing24
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean0.7857857858
Minimum0
Maximum2
Zeros368
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:10.076812image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6907332212
Coefficient of variation (CV)0.8790350166
Kurtosis-0.9009712972
Mean0.7857857858
Median Absolute Deviation (MAD)1
Skewness0.3101985504
Sum785
Variance0.4771123829
MonotonicityNot monotonic
2024-05-04T15:24:10.228929image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 477
46.6%
0 368
36.0%
2 154
 
15.1%
(Missing) 24
 
2.3%
ValueCountFrequency (%)
0 368
36.0%
1 477
46.6%
2 154
 
15.1%
ValueCountFrequency (%)
2 154
 
15.1%
1 477
46.6%
0 368
36.0%

rs5030937_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.9650698603
Minimum0
Maximum2
Zeros268
Zeros (%)26.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:10.377214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7065961838
Coefficient of variation (CV)0.7321710198
Kurtosis-0.9940971392
Mean0.9650698603
Median Absolute Deviation (MAD)0.5
Skewness0.04941207418
Sum967
Variance0.4992781669
MonotonicityNot monotonic
2024-05-04T15:24:10.527850image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 501
49.0%
0 268
26.2%
2 233
22.8%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 268
26.2%
1 501
49.0%
2 233
22.8%
ValueCountFrequency (%)
2 233
22.8%
1 501
49.0%
0 268
26.2%

rs4746822_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing23
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean0.913
Minimum0
Maximum2
Zeros296
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:10.668133image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7056407931
Coefficient of variation (CV)0.7728814821
Kurtosis-0.9883888643
Mean0.913
Median Absolute Deviation (MAD)1
Skewness0.1241430203
Sum913
Variance0.4979289289
MonotonicityNot monotonic
2024-05-04T15:24:10.848611image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 495
48.4%
0 296
28.9%
2 209
20.4%
(Missing) 23
 
2.2%
ValueCountFrequency (%)
0 296
28.9%
1 495
48.4%
2 209
20.4%
ValueCountFrequency (%)
2 209
20.4%
1 495
48.4%
0 296
28.9%

rs1801253_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing35
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean0.2186234818
Minimum0
Maximum2
Zeros790
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:11.006756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4554936842
Coefficient of variation (CV)2.083461852
Kurtosis2.914825404
Mean0.2186234818
Median Absolute Deviation (MAD)0
Skewness1.926913679
Sum216
Variance0.2074744964
MonotonicityNot monotonic
2024-05-04T15:24:11.175734image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 790
77.2%
1 180
 
17.6%
2 18
 
1.8%
(Missing) 35
 
3.4%
ValueCountFrequency (%)
0 790
77.2%
1 180
 
17.6%
2 18
 
1.8%
ValueCountFrequency (%)
2 18
 
1.8%
1 180
 
17.6%
0 790
77.2%

rs149483638_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing22
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean0.4925074925
Minimum0
Maximum2
Zeros572
Zeros (%)55.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:11.330436image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6149746387
Coefficient of variation (CV)1.248660473
Kurtosis-0.277260116
Mean0.4925074925
Median Absolute Deviation (MAD)0
Skewness0.8557239397
Sum493
Variance0.3781938062
MonotonicityNot monotonic
2024-05-04T15:24:11.483659image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 572
55.9%
1 365
35.7%
2 64
 
6.3%
(Missing) 22
 
2.2%
ValueCountFrequency (%)
0 572
55.9%
1 365
35.7%
2 64
 
6.3%
ValueCountFrequency (%)
2 64
 
6.3%
1 365
35.7%
0 572
55.9%

rs3842753_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing29
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.4024144869
Minimum0
Maximum2
Zeros634
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:11.639612image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5668184785
Coefficient of variation (CV)1.408543919
Kurtosis0.1121422567
Mean0.4024144869
Median Absolute Deviation (MAD)0
Skewness1.053207791
Sum400
Variance0.3212831875
MonotonicityNot monotonic
2024-05-04T15:24:11.802374image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 634
62.0%
1 320
31.3%
2 40
 
3.9%
(Missing) 29
 
2.8%
ValueCountFrequency (%)
0 634
62.0%
1 320
31.3%
2 40
 
3.9%
ValueCountFrequency (%)
2 40
 
3.9%
1 320
31.3%
0 634
62.0%

rs689_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean0.4095427435
Minimum0
Maximum2
Zeros638
Zeros (%)62.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:11.959840image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5741256728
Coefficient of variation (CV)1.401869968
Kurtosis0.1130224201
Mean0.4095427435
Median Absolute Deviation (MAD)0
Skewness1.053104883
Sum412
Variance0.3296202882
MonotonicityNot monotonic
2024-05-04T15:24:12.112027image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 638
62.4%
1 324
31.7%
2 44
 
4.3%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
0 638
62.4%
1 324
31.7%
2 44
 
4.3%
ValueCountFrequency (%)
2 44
 
4.3%
1 324
31.7%
0 638
62.4%

rs202673_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing28
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean0.2924623116
Minimum0
Maximum2
Zeros716
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:12.252454image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4809169931
Coefficient of variation (CV)1.644372537
Kurtosis0.286395615
Mean0.2924623116
Median Absolute Deviation (MAD)0
Skewness1.236244166
Sum291
Variance0.2312811543
MonotonicityNot monotonic
2024-05-04T15:24:12.398804image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 716
70.0%
1 267
 
26.1%
2 12
 
1.2%
(Missing) 28
 
2.7%
ValueCountFrequency (%)
0 716
70.0%
1 267
 
26.1%
2 12
 
1.2%
ValueCountFrequency (%)
2 12
 
1.2%
1 267
 
26.1%
0 716
70.0%

rs1042725_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.6097804391
Minimum0
Maximum2
Zeros475
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:12.581774image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6371955222
Coefficient of variation (CV)1.044958942
Kurtosis-0.633122524
Mean0.6097804391
Median Absolute Deviation (MAD)1
Skewness0.5584035428
Sum611
Variance0.4060181336
MonotonicityNot monotonic
2024-05-04T15:24:12.773927image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 475
46.4%
1 443
43.3%
2 84
 
8.2%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 475
46.4%
1 443
43.3%
2 84
 
8.2%
ValueCountFrequency (%)
2 84
 
8.2%
1 443
43.3%
0 475
46.4%

rs1950902_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing28
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean0.1567839196
Minimum0
Maximum2
Zeros841
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:12.940459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3692693702
Coefficient of variation (CV)2.355275791
Kurtosis2.457926904
Mean0.1567839196
Median Absolute Deviation (MAD)0
Skewness2.0102393
Sum156
Variance0.1363598677
MonotonicityNot monotonic
2024-05-04T15:24:13.096921image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 841
82.2%
1 152
 
14.9%
2 2
 
0.2%
(Missing) 28
 
2.7%
ValueCountFrequency (%)
0 841
82.2%
1 152
 
14.9%
2 2
 
0.2%
ValueCountFrequency (%)
2 2
 
0.2%
1 152
 
14.9%
0 841
82.2%

rs16948305_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing31
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean0.08568548387
Minimum0
Maximum2
Zeros911
Zeros (%)89.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:13.247296image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.294100647
Coefficient of variation (CV)3.432327551
Kurtosis11.5889012
Mean0.08568548387
Median Absolute Deviation (MAD)0
Skewness3.431914313
Sum85
Variance0.08649519059
MonotonicityNot monotonic
2024-05-04T15:24:13.424643image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 911
89.1%
1 77
 
7.5%
2 4
 
0.4%
(Missing) 31
 
3.0%
ValueCountFrequency (%)
0 911
89.1%
1 77
 
7.5%
2 4
 
0.4%
ValueCountFrequency (%)
2 4
 
0.4%
1 77
 
7.5%
0 911
89.1%

rs2228611_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.9880358923
Minimum0
Maximum2
Zeros266
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:13.568122image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.7202907698
Coefficient of variation (CV)0.729012757
Kurtosis-1.069912442
Mean0.9880358923
Median Absolute Deviation (MAD)1
Skewness0.01782326043
Sum991
Variance0.5188187931
MonotonicityNot monotonic
2024-05-04T15:24:13.716922image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 483
47.2%
0 266
26.0%
2 254
24.8%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 266
26.0%
1 483
47.2%
2 254
24.8%
ValueCountFrequency (%)
2 254
24.8%
1 483
47.2%
0 266
26.0%

rs6517656_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing22
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean0.2787212787
Minimum0
Maximum2
Zeros734
Zeros (%)71.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:13.854075image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4745911538
Coefficient of variation (CV)1.702744605
Kurtosis0.5363106794
Mean0.2787212787
Median Absolute Deviation (MAD)0
Skewness1.321602163
Sum279
Variance0.2252367632
MonotonicityNot monotonic
2024-05-04T15:24:14.027746image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 734
71.7%
1 255
 
24.9%
2 12
 
1.2%
(Missing) 22
 
2.2%
ValueCountFrequency (%)
0 734
71.7%
1 255
 
24.9%
2 12
 
1.2%
ValueCountFrequency (%)
2 12
 
1.2%
1 255
 
24.9%
0 734
71.7%

rs2277820_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing28
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean0.640201005
Minimum0
Maximum2
Zeros471
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:14.178845image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6767123446
Coefficient of variation (CV)1.057031056
Kurtosis-0.7293274417
Mean0.640201005
Median Absolute Deviation (MAD)1
Skewness0.5844799942
Sum637
Variance0.4579395974
MonotonicityNot monotonic
2024-05-04T15:24:14.315097image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 471
46.0%
1 411
40.2%
2 113
 
11.0%
(Missing) 28
 
2.7%
ValueCountFrequency (%)
0 471
46.0%
1 411
40.2%
2 113
 
11.0%
ValueCountFrequency (%)
2 113
 
11.0%
1 411
40.2%
0 471
46.0%

mpg
Real number (ℝ)

MISSING 

Distinct217
Distinct (%)22.0%
Missing36
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean114.5187943
Minimum61
Maximum255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:14.489331image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile82.5
Q195
median111
Q3131
95-th percentile156
Maximum255
Range194
Interquartile range (IQR)36

Descriptive statistics

Standard deviation24.609059
Coefficient of variation (CV)0.2148910067
Kurtosis2.325368974
Mean114.5187943
Median Absolute Deviation (MAD)17.5
Skewness0.9546923985
Sum113030.05
Variance605.6057849
MonotonicityNot monotonic
2024-05-04T15:24:14.685182image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95 17
 
1.7%
104.5 14
 
1.4%
90 14
 
1.4%
93 13
 
1.3%
93.5 13
 
1.3%
132 13
 
1.3%
134.5 12
 
1.2%
98 12
 
1.2%
102.5 12
 
1.2%
99.5 12
 
1.2%
Other values (207) 855
83.6%
(Missing) 36
 
3.5%
ValueCountFrequency (%)
61 1
0.1%
66 1
0.1%
67 1
0.1%
67.5 1
0.1%
68 1
0.1%
ValueCountFrequency (%)
255 1
0.1%
249 1
0.1%
243 1
0.1%
207.5 1
0.1%
200.5 1
0.1%

m
Real number (ℝ)

MISSING 

Distinct834
Distinct (%)91.4%
Missing111
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean772.6032265
Minimum456.2137
Maximum1703.176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:14.881318image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum456.2137
5-th percentile564.699695
Q1664.674425
median746.38575
Q3847.334725
95-th percentile1063.0715
Maximum1703.176
Range1246.9623
Interquartile range (IQR)182.6603

Descriptive statistics

Standard deviation155.9883998
Coefficient of variation (CV)0.2018997519
Kurtosis2.372183603
Mean772.6032265
Median Absolute Deviation (MAD)92.22525
Skewness1.080515739
Sum704614.1426
Variance24332.38086
MonotonicityNot monotonic
2024-05-04T15:24:15.087105image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
722.4275 3
 
0.3%
721.0025 3
 
0.3%
721.2875 3
 
0.3%
662.3123 3
 
0.3%
590.2928 3
 
0.3%
725.04 3
 
0.3%
782.2181 3
 
0.3%
696.8773 2
 
0.2%
724.8975 2
 
0.2%
649.2015 2
 
0.2%
Other values (824) 885
86.5%
(Missing) 111
 
10.9%
ValueCountFrequency (%)
456.2137 1
0.1%
480.6683 1
0.1%
481.2383 1
0.1%
481.4917 1
0.1%
481.9033 1
0.1%
ValueCountFrequency (%)
1703.176 1
0.1%
1531.25 1
0.1%
1386.474 1
0.1%
1357.664 1
0.1%
1303.105 1
0.1%

mcr
Real number (ℝ)

MISSING 

Distinct834
Distinct (%)91.4%
Missing111
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean6.974325286
Minimum3.399913
Maximum15.19988
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:15.274062image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.399913
5-th percentile4.6461395
Q15.73630925
median6.7116365
Q37.874319
95-th percentile10.306035
Maximum15.19988
Range11.799967
Interquartile range (IQR)2.13800975

Descriptive statistics

Standard deviation1.741156437
Coefficient of variation (CV)0.2496523126
Kurtosis1.452980732
Mean6.974325286
Median Absolute Deviation (MAD)1.049834
Skewness0.9693814368
Sum6360.584661
Variance3.031625737
MonotonicityNot monotonic
2024-05-04T15:24:15.480295image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.913182 3
 
0.3%
8.055894 3
 
0.3%
7.797702 3
 
0.3%
6.277842 3
 
0.3%
5.440486 3
 
0.3%
5.492727 3
 
0.3%
7.783265 3
 
0.3%
7.874319 2
 
0.2%
5.55477 2
 
0.2%
6.980661 2
 
0.2%
Other values (824) 885
86.5%
(Missing) 111
 
10.9%
ValueCountFrequency (%)
3.399913 1
0.1%
3.464107 1
0.1%
3.725702 1
0.1%
3.810109 1
0.1%
3.81026 1
0.1%
ValueCountFrequency (%)
15.19988 1
0.1%
13.88666 1
0.1%
13.35278 1
0.1%
13.31521 1
0.1%
13.18569 1
0.1%

msi
Real number (ℝ)

MISSING 

Distinct224
Distinct (%)47.6%
Missing552
Missing (%)54.0%
Infinite0
Infinite (%)0.0%
Mean16.88343949
Minimum2.5
Maximum250.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:15.694587image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile5.1
Q18.65
median13
Q318.6
95-th percentile36.35
Maximum250.6
Range248.1
Interquartile range (IQR)9.95

Descriptive statistics

Standard deviation19.84813249
Coefficient of variation (CV)1.175597692
Kurtosis63.45870869
Mean16.88343949
Median Absolute Deviation (MAD)4.6
Skewness6.958090985
Sum7952.1
Variance393.9483635
MonotonicityNot monotonic
2024-05-04T15:24:15.894811image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.2 6
 
0.6%
15.7 6
 
0.6%
10.5 5
 
0.5%
10.3 5
 
0.5%
13.8 5
 
0.5%
7.1 5
 
0.5%
16.1 5
 
0.5%
10 5
 
0.5%
11 5
 
0.5%
12.2 5
 
0.5%
Other values (214) 419
41.0%
(Missing) 552
54.0%
ValueCountFrequency (%)
2.5 1
0.1%
2.8 1
0.1%
3.2 1
0.1%
3.3 2
0.2%
3.4 1
0.1%
ValueCountFrequency (%)
250.6 1
0.1%
182.1 1
0.1%
169.4 1
0.1%
156.4 1
0.1%
107 1
0.1%

gutt
Real number (ℝ)

MISSING 

Distinct452
Distinct (%)99.6%
Missing569
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean2.928329956
Minimum0.9711039
Maximum8.065735
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:16.097391image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.9711039
5-th percentile1.59922785
Q12.2878775
median2.8264715
Q33.40878625
95-th percentile4.54768995
Maximum8.065735
Range7.0946311
Interquartile range (IQR)1.12090875

Descriptive statistics

Standard deviation0.9634489628
Coefficient of variation (CV)0.3290097009
Kurtosis2.992052823
Mean2.928329956
Median Absolute Deviation (MAD)0.547079
Skewness1.14763326
Sum1329.4618
Variance0.9282339039
MonotonicityNot monotonic
2024-05-04T15:24:16.310290image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.840156 2
 
0.2%
3.366349 2
 
0.2%
4.126832 1
 
0.1%
7.082337 1
 
0.1%
5.193645 1
 
0.1%
2.062496 1
 
0.1%
2.808013 1
 
0.1%
2.499671 1
 
0.1%
1.998013 1
 
0.1%
1.832684 1
 
0.1%
Other values (442) 442
43.2%
(Missing) 569
55.6%
ValueCountFrequency (%)
0.9711039 1
0.1%
1.078629 1
0.1%
1.142875 1
0.1%
1.163913 1
0.1%
1.231519 1
0.1%
ValueCountFrequency (%)
8.065735 1
0.1%
7.082337 1
0.1%
6.839727 1
0.1%
6.511054 1
0.1%
6.500257 1
0.1%

hiperglu_1av
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean0.9731610338
Minimum0
Maximum1
Zeros27
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:16.486271image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1616929955
Coefficient of variation (CV)0.1661523529
Kurtosis32.45387396
Mean0.9731610338
Median Absolute Deviation (MAD)0
Skewness-5.864243955
Sum979
Variance0.02614462479
MonotonicityNot monotonic
2024-05-04T15:24:16.618734image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 979
95.7%
0 27
 
2.6%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
0 27
 
2.6%
1 979
95.7%
ValueCountFrequency (%)
1 979
95.7%
0 27
 
2.6%

_merge2
Text

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:16.752414image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.83382209
Min length1

Characters and Unicode

Total characters11083
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row.
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
matched 1006
49.6%
3 1006
49.6%
17
 
0.8%
2024-05-04T15:24:17.098853image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 1006
9.1%
a 1006
9.1%
t 1006
9.1%
c 1006
9.1%
h 1006
9.1%
e 1006
9.1%
d 1006
9.1%
1006
9.1%
( 1006
9.1%
3 1006
9.1%
Other values (2) 1023
9.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11083
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
m 1006
9.1%
a 1006
9.1%
t 1006
9.1%
c 1006
9.1%
h 1006
9.1%
e 1006
9.1%
d 1006
9.1%
1006
9.1%
( 1006
9.1%
3 1006
9.1%
Other values (2) 1023
9.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11083
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
m 1006
9.1%
a 1006
9.1%
t 1006
9.1%
c 1006
9.1%
h 1006
9.1%
e 1006
9.1%
d 1006
9.1%
1006
9.1%
( 1006
9.1%
3 1006
9.1%
Other values (2) 1023
9.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11083
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
m 1006
9.1%
a 1006
9.1%
t 1006
9.1%
c 1006
9.1%
h 1006
9.1%
e 1006
9.1%
d 1006
9.1%
1006
9.1%
( 1006
9.1%
3 1006
9.1%
Other values (2) 1023
9.2%

gancia_peso
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)70.4%
Missing996
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean11.1
Minimum2
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:17.268245image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.86
Q17.5
median12
Q313.25
95-th percentile19.75
Maximum21
Range19
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation5.079294318
Coefficient of variation (CV)0.4575940827
Kurtosis-0.5638399848
Mean11.1
Median Absolute Deviation (MAD)4
Skewness0.2554122153
Sum299.7
Variance25.79923077
MonotonicityNot monotonic
2024-05-04T15:24:17.436234image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
13 4
 
0.4%
6 2
 
0.2%
10 2
 
0.2%
12 2
 
0.2%
8 2
 
0.2%
18 2
 
0.2%
3.8 1
 
0.1%
6.7 1
 
0.1%
8.2 1
 
0.1%
7 1
 
0.1%
Other values (9) 9
 
0.9%
(Missing) 996
97.4%
ValueCountFrequency (%)
2 1
0.1%
3.8 1
0.1%
4 1
0.1%
6 2
0.2%
6.7 1
0.1%
ValueCountFrequency (%)
21 1
0.1%
20.5 1
0.1%
18 2
0.2%
17.8 1
0.1%
14 1
0.1%

sdg_tamiz
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1023
Missing (%)100.0%
Memory size8.1 KiB

tam_0
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1023
Missing (%)100.0%
Memory size8.1 KiB

tam_120
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1023
Missing (%)100.0%
Memory size8.1 KiB

ph_a
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1023
Missing (%)100.0%
Memory size8.1 KiB

po2_a
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1023
Missing (%)100.0%
Memory size8.1 KiB

pco2_a
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1023
Missing (%)100.0%
Memory size8.1 KiB

ph_v
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1023
Missing (%)100.0%
Memory size8.1 KiB

po2_v
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1023
Missing (%)100.0%
Memory size8.1 KiB

pco2_v
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1023
Missing (%)100.0%
Memory size8.1 KiB

origen_px
Text

MISSING 

Distinct10
Distinct (%)15.4%
Missing958
Missing (%)93.6%
Memory size8.1 KiB
2024-05-04T15:24:17.591406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length15
Median length2
Mean length3.138461538
Min length1

Characters and Unicode

Total characters204
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)7.7%

Sample

1st rowDF
2nd rowDF
3rd rowGua.juato
4th rowDF
5th rowDF
ValueCountFrequency (%)
df 49
75.4%
4
 
6.2%
guerrero 3
 
4.6%
gua.juato 2
 
3.1%
veracruz 2
 
3.1%
san.luis.potosi 1
 
1.5%
morelos 1
 
1.5%
tamaulipas 1
 
1.5%
oaxaca 1
 
1.5%
puebla 1
 
1.5%
2024-05-04T15:24:17.899780image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
D 49
24.0%
F 49
24.0%
r 14
 
6.9%
a 14
 
6.9%
u 12
 
5.9%
e 10
 
4.9%
o 9
 
4.4%
. 8
 
3.9%
G 5
 
2.5%
s 4
 
2.0%
Other values (18) 30
14.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 204
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
D 49
24.0%
F 49
24.0%
r 14
 
6.9%
a 14
 
6.9%
u 12
 
5.9%
e 10
 
4.9%
o 9
 
4.4%
. 8
 
3.9%
G 5
 
2.5%
s 4
 
2.0%
Other values (18) 30
14.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 204
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
D 49
24.0%
F 49
24.0%
r 14
 
6.9%
a 14
 
6.9%
u 12
 
5.9%
e 10
 
4.9%
o 9
 
4.4%
. 8
 
3.9%
G 5
 
2.5%
s 4
 
2.0%
Other values (18) 30
14.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 204
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
D 49
24.0%
F 49
24.0%
r 14
 
6.9%
a 14
 
6.9%
u 12
 
5.9%
e 10
 
4.9%
o 9
 
4.4%
. 8
 
3.9%
G 5
 
2.5%
s 4
 
2.0%
Other values (18) 30
14.7%

origen_padre
Text

MISSING 

Distinct16
Distinct (%)24.6%
Missing958
Missing (%)93.6%
Memory size8.1 KiB
2024-05-04T15:24:18.074638image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length15
Median length10
Mean length4.769230769
Min length1

Characters and Unicode

Total characters310
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)6.2%

Sample

1st rowEdoMex
2nd rowDF
3rd rowGua.juato
4th rowCoahulia
5th rowDF
ValueCountFrequency (%)
df 28
43.1%
6
 
9.2%
guerrero 4
 
6.2%
edomex 3
 
4.6%
gua.juato 3
 
4.6%
puebla 3
 
4.6%
michoac?n 3
 
4.6%
veracruz 3
 
4.6%
jalisco 2
 
3.1%
oaxaca 2
 
3.1%
Other values (6) 8
 
12.3%
2024-05-04T15:24:18.408982image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 33
 
10.6%
D 28
 
9.0%
F 28
 
9.0%
o 24
 
7.7%
u 20
 
6.5%
e 19
 
6.1%
r 18
 
5.8%
. 14
 
4.5%
c 14
 
4.5%
i 11
 
3.5%
Other values (27) 101
32.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 310
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 33
 
10.6%
D 28
 
9.0%
F 28
 
9.0%
o 24
 
7.7%
u 20
 
6.5%
e 19
 
6.1%
r 18
 
5.8%
. 14
 
4.5%
c 14
 
4.5%
i 11
 
3.5%
Other values (27) 101
32.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 310
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 33
 
10.6%
D 28
 
9.0%
F 28
 
9.0%
o 24
 
7.7%
u 20
 
6.5%
e 19
 
6.1%
r 18
 
5.8%
. 14
 
4.5%
c 14
 
4.5%
i 11
 
3.5%
Other values (27) 101
32.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 310
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 33
 
10.6%
D 28
 
9.0%
F 28
 
9.0%
o 24
 
7.7%
u 20
 
6.5%
e 19
 
6.1%
r 18
 
5.8%
. 14
 
4.5%
c 14
 
4.5%
i 11
 
3.5%
Other values (27) 101
32.6%

origen_madre
Text

MISSING 

Distinct14
Distinct (%)21.5%
Missing958
Missing (%)93.6%
Memory size8.1 KiB
2024-05-04T15:24:18.561281image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length16
Median length2
Mean length4.630769231
Min length1

Characters and Unicode

Total characters301
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)7.7%

Sample

1st rowVeracruz
2nd rowDF
3rd rowGua.juato
4th rowDF
5th rowDF
ValueCountFrequency (%)
df 37
56.9%
guerrero 4
 
6.2%
4
 
6.2%
veracruz 3
 
4.6%
gua.juato 3
 
4.6%
oaxaca 3
 
4.6%
estado.de.mexico 2
 
3.1%
michoac?n 2
 
3.1%
san.luis.potos 2
 
3.1%
san.luis.potosi 1
 
1.5%
Other values (4) 4
 
6.2%
2024-05-04T15:24:18.895386image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
D 37
12.3%
F 37
12.3%
a 31
 
10.3%
o 21
 
7.0%
r 18
 
6.0%
u 17
 
5.6%
. 17
 
5.6%
e 16
 
5.3%
c 14
 
4.7%
i 10
 
3.3%
Other values (23) 83
27.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 301
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
D 37
12.3%
F 37
12.3%
a 31
 
10.3%
o 21
 
7.0%
r 18
 
6.0%
u 17
 
5.6%
. 17
 
5.6%
e 16
 
5.3%
c 14
 
4.7%
i 10
 
3.3%
Other values (23) 83
27.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 301
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
D 37
12.3%
F 37
12.3%
a 31
 
10.3%
o 21
 
7.0%
r 18
 
6.0%
u 17
 
5.6%
. 17
 
5.6%
e 16
 
5.3%
c 14
 
4.7%
i 10
 
3.3%
Other values (23) 83
27.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 301
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
D 37
12.3%
F 37
12.3%
a 31
 
10.3%
o 21
 
7.0%
r 18
 
6.0%
u 17
 
5.6%
. 17
 
5.6%
e 16
 
5.3%
c 14
 
4.7%
i 10
 
3.3%
Other values (23) 83
27.6%

origen_abos_pat
Text

MISSING 

Distinct22
Distinct (%)33.8%
Missing958
Missing (%)93.6%
Memory size8.1 KiB
2024-05-04T15:24:19.088725image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length19
Median length15
Mean length6.738461538
Min length1

Characters and Unicode

Total characters438
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)15.4%

Sample

1st rowEdoMex
2nd rowSan.Luis.Potos?
3rd rowGua.juato
4th rowCoahuila/Gua.juato
5th rowDF
ValueCountFrequency (%)
df 13
20.0%
10
15.4%
puebla 5
 
7.7%
guerrero 5
 
7.7%
edomex 4
 
6.2%
gua.juato 3
 
4.6%
oaxaca 3
 
4.6%
veracruz 3
 
4.6%
michoac?n 3
 
4.6%
san.luis.potosi 2
 
3.1%
Other values (12) 14
21.5%
2024-05-04T15:24:19.501018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 50
 
11.4%
u 36
 
8.2%
o 36
 
8.2%
. 34
 
7.8%
e 29
 
6.6%
r 28
 
6.4%
D 17
 
3.9%
F 17
 
3.9%
i 16
 
3.7%
c 15
 
3.4%
Other values (28) 160
36.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 438
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 50
 
11.4%
u 36
 
8.2%
o 36
 
8.2%
. 34
 
7.8%
e 29
 
6.6%
r 28
 
6.4%
D 17
 
3.9%
F 17
 
3.9%
i 16
 
3.7%
c 15
 
3.4%
Other values (28) 160
36.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 438
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 50
 
11.4%
u 36
 
8.2%
o 36
 
8.2%
. 34
 
7.8%
e 29
 
6.6%
r 28
 
6.4%
D 17
 
3.9%
F 17
 
3.9%
i 16
 
3.7%
c 15
 
3.4%
Other values (28) 160
36.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 438
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 50
 
11.4%
u 36
 
8.2%
o 36
 
8.2%
. 34
 
7.8%
e 29
 
6.6%
r 28
 
6.4%
D 17
 
3.9%
F 17
 
3.9%
i 16
 
3.7%
c 15
 
3.4%
Other values (28) 160
36.5%

origen_abos_mat
Text

MISSING 

Distinct31
Distinct (%)47.7%
Missing958
Missing (%)93.6%
Memory size8.1 KiB
2024-05-04T15:24:19.700597image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length26
Median length16
Mean length8.215384615
Min length1

Characters and Unicode

Total characters534
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)32.3%

Sample

1st rowDF,.Veracruz
2nd rowDF,.Michoac?n
3rd rowGua.juato
4th rowDF
5th rowDF
ValueCountFrequency (%)
df 17
26.2%
5
 
7.7%
gua.juato 4
 
6.2%
guerrero 4
 
6.2%
df,.michoac?n 3
 
4.6%
oaxaca 3
 
4.6%
jalisco 2
 
3.1%
estado.de.mexico 2
 
3.1%
veracruz 2
 
3.1%
michoac?n 2
 
3.1%
Other values (21) 21
32.3%
2024-05-04T15:24:20.070606image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 71
 
13.3%
. 43
 
8.1%
o 38
 
7.1%
u 33
 
6.2%
D 30
 
5.6%
F 29
 
5.4%
c 27
 
5.1%
r 26
 
4.9%
e 25
 
4.7%
, 20
 
3.7%
Other values (28) 192
36.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 534
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 71
 
13.3%
. 43
 
8.1%
o 38
 
7.1%
u 33
 
6.2%
D 30
 
5.6%
F 29
 
5.4%
c 27
 
5.1%
r 26
 
4.9%
e 25
 
4.7%
, 20
 
3.7%
Other values (28) 192
36.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 534
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 71
 
13.3%
. 43
 
8.1%
o 38
 
7.1%
u 33
 
6.2%
D 30
 
5.6%
F 29
 
5.4%
c 27
 
5.1%
r 26
 
4.9%
e 25
 
4.7%
, 20
 
3.7%
Other values (28) 192
36.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 534
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 71
 
13.3%
. 43
 
8.1%
o 38
 
7.1%
u 33
 
6.2%
D 30
 
5.6%
F 29
 
5.4%
c 27
 
5.1%
r 26
 
4.9%
e 25
 
4.7%
, 20
 
3.7%
Other values (28) 192
36.0%

domicilio
Text

MISSING 

Distinct61
Distinct (%)93.8%
Missing958
Missing (%)93.6%
Memory size8.1 KiB
2024-05-04T15:24:20.333090image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length77
Median length56
Mean length44.33846154
Min length1

Characters and Unicode

Total characters2882
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)90.8%

Sample

1st rowCerrada.de.cerezos.No.7.Col..Are.l.de.Guadalupe.Del.Tlalpan
2nd rowCedro.143.Col..Santo.Tom?s.Ajusco
3rd rowCalle.Tekit,.Del..Tlalpan
4th rowFrancisco.Garc?a.Batle.No..98A.CTM-Culhuacan.Secci?n.8..Del..Coyoac?n
5th rowMatamoros.42.San.Mateo.Jalpa.Xochimilco
ValueCountFrequency (%)
4
 
6.2%
cerrada.de.cerezos.no.7.col..are.l.de.guadalupe.del.tlalpan 2
 
3.1%
barranquilla.65.col..observatorio 1
 
1.5%
16.de.septiembre.20.pueblo.san.miguel.xicalco 1
 
1.5%
dalias.sur.no..86..barrio.san.cristobal..xochimilco 1
 
1.5%
cedro.143.col..santo.tom?s.ajusco 1
 
1.5%
calle.tekit,.del..tlalpan 1
 
1.5%
francisco.garc?a.batle.no..98a.ctm-culhuacan.secci?n.8..del..coyoac?n 1
 
1.5%
matamoros.42.san.mateo.jalpa.xochimilco 1
 
1.5%
calle.del.rosal.sur.#142.col..san.pedro.m?rtir..tlalpan 1
 
1.5%
Other values (51) 51
78.5%
2024-05-04T15:24:20.820053image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 568
19.7%
a 277
 
9.6%
o 218
 
7.6%
l 207
 
7.2%
e 180
 
6.2%
r 107
 
3.7%
C 107
 
3.7%
n 99
 
3.4%
i 82
 
2.8%
t 74
 
2.6%
Other values (54) 963
33.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2882
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 568
19.7%
a 277
 
9.6%
o 218
 
7.6%
l 207
 
7.2%
e 180
 
6.2%
r 107
 
3.7%
C 107
 
3.7%
n 99
 
3.4%
i 82
 
2.8%
t 74
 
2.6%
Other values (54) 963
33.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2882
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 568
19.7%
a 277
 
9.6%
o 218
 
7.6%
l 207
 
7.2%
e 180
 
6.2%
r 107
 
3.7%
C 107
 
3.7%
n 99
 
3.4%
i 82
 
2.8%
t 74
 
2.6%
Other values (54) 963
33.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2882
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 568
19.7%
a 277
 
9.6%
o 218
 
7.6%
l 207
 
7.2%
e 180
 
6.2%
r 107
 
3.7%
C 107
 
3.7%
n 99
 
3.4%
i 82
 
2.8%
t 74
 
2.6%
Other values (54) 963
33.4%

telefono
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing958
Missing (%)93.6%
Memory size8.1 KiB

fecha_ev1
Text

MISSING 

Distinct50
Distinct (%)76.9%
Missing958
Missing (%)93.6%
Memory size8.1 KiB
2024-05-04T15:24:21.082749image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.584615385
Min length1

Characters and Unicode

Total characters623
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)61.5%

Sample

1st row 4/24/2013
2nd row 3/20/2012
3rd row 2/29/2012
4th row 9/28/2012
5th row.
ValueCountFrequency (%)
2/7/2012 5
 
7.7%
3
 
4.6%
1/31/2012 3
 
4.6%
2/10/2012 2
 
3.1%
2/29/2012 2
 
3.1%
7/30/2012 2
 
3.1%
12/6/2012 2
 
3.1%
2/28/2012 2
 
3.1%
2/3/2012 2
 
3.1%
2/8/2012 2
 
3.1%
Other values (40) 40
61.5%
2024-05-04T15:24:21.493699image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 165
26.5%
/ 124
19.9%
1 96
15.4%
77
12.4%
0 75
12.0%
3 25
 
4.0%
7 18
 
2.9%
8 14
 
2.2%
5 8
 
1.3%
9 7
 
1.1%
Other values (3) 14
 
2.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 623
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 165
26.5%
/ 124
19.9%
1 96
15.4%
77
12.4%
0 75
12.0%
3 25
 
4.0%
7 18
 
2.9%
8 14
 
2.2%
5 8
 
1.3%
9 7
 
1.1%
Other values (3) 14
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 623
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 165
26.5%
/ 124
19.9%
1 96
15.4%
77
12.4%
0 75
12.0%
3 25
 
4.0%
7 18
 
2.9%
8 14
 
2.2%
5 8
 
1.3%
9 7
 
1.1%
Other values (3) 14
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 623
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 165
26.5%
/ 124
19.9%
1 96
15.4%
77
12.4%
0 75
12.0%
3 25
 
4.0%
7 18
 
2.9%
8 14
 
2.2%
5 8
 
1.3%
9 7
 
1.1%
Other values (3) 14
 
2.2%

sdg_ev1
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)56.5%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean18.27290323
Minimum4
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:21.675360image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.625
Q18.7
median23
Q326.8225
95-th percentile29.975
Maximum31
Range27
Interquartile range (IQR)18.1225

Descriptive statistics

Standard deviation9.36163384
Coefficient of variation (CV)0.5123232868
Kurtosis-1.828390885
Mean18.27290323
Median Absolute Deviation (MAD)7
Skewness-0.1079081823
Sum1132.92
Variance87.64018815
MonotonicityNot monotonic
2024-05-04T15:24:21.856658image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
26 7
 
0.7%
24 4
 
0.4%
8 4
 
0.4%
29 3
 
0.3%
28 3
 
0.3%
9 3
 
0.3%
30 3
 
0.3%
22 2
 
0.2%
7.1 2
 
0.2%
25 2
 
0.2%
Other values (25) 29
 
2.8%
(Missing) 961
93.9%
ValueCountFrequency (%)
4 1
0.1%
5 1
0.1%
6.6 2
0.2%
7.1 2
0.2%
7.2 1
0.1%
ValueCountFrequency (%)
31 1
 
0.1%
30 3
0.3%
29.5 1
 
0.1%
29 3
0.3%
28.2 2
0.2%

edad_ev1
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)37.1%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean27.01612903
Minimum16
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:22.014874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile18
Q121
median27
Q332
95-th percentile37.95
Maximum42
Range26
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.584860767
Coefficient of variation (CV)0.2437381299
Kurtosis-0.8960015465
Mean27.01612903
Median Absolute Deviation (MAD)6
Skewness0.17793021
Sum1675
Variance43.36039133
MonotonicityNot monotonic
2024-05-04T15:24:22.635224image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
30 7
 
0.7%
21 5
 
0.5%
27 5
 
0.5%
18 4
 
0.4%
33 4
 
0.4%
29 3
 
0.3%
20 3
 
0.3%
28 3
 
0.3%
36 3
 
0.3%
32 3
 
0.3%
Other values (13) 22
 
2.2%
(Missing) 961
93.9%
ValueCountFrequency (%)
16 1
 
0.1%
17 2
0.2%
18 4
0.4%
19 3
0.3%
20 3
0.3%
ValueCountFrequency (%)
42 1
 
0.1%
39 1
 
0.1%
38 2
0.2%
37 1
 
0.1%
36 3
0.3%

peso_pg
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)53.8%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean61.74769231
Minimum42
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:22.898470image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile45.2
Q154.5
median61
Q369
95-th percentile76.6
Maximum84
Range42
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation9.676358233
Coefficient of variation (CV)0.156708014
Kurtosis-0.5621764851
Mean61.74769231
Median Absolute Deviation (MAD)7.5
Skewness0.01586444981
Sum4013.6
Variance93.63190865
MonotonicityNot monotonic
2024-05-04T15:24:23.084163image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
63 4
 
0.4%
58 4
 
0.4%
60 4
 
0.4%
61 4
 
0.4%
65 3
 
0.3%
50 3
 
0.3%
70 3
 
0.3%
74 3
 
0.3%
75 3
 
0.3%
64 2
 
0.2%
Other values (25) 32
 
3.1%
(Missing) 958
93.6%
ValueCountFrequency (%)
42 1
0.1%
43 1
0.1%
44.5 2
0.2%
48 1
0.1%
49.8 1
0.1%
ValueCountFrequency (%)
84 1
 
0.1%
80 1
 
0.1%
78 1
 
0.1%
77 1
 
0.1%
75 3
0.3%

talla_ev1
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)52.5%
Missing962
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean1.582934426
Minimum1.46
Maximum1.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:23.249726image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.46
5-th percentile1.49
Q11.545
median1.59
Q31.63
95-th percentile1.67
Maximum1.68
Range0.22
Interquartile range (IQR)0.085

Descriptive statistics

Standard deviation0.05661238641
Coefficient of variation (CV)0.0357642019
Kurtosis-0.8666371856
Mean1.582934426
Median Absolute Deviation (MAD)0.044
Skewness-0.2172420891
Sum96.559
Variance0.003204962295
MonotonicityNot monotonic
2024-05-04T15:24:23.427572image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1.65 7
 
0.7%
1.6 7
 
0.7%
1.55 4
 
0.4%
1.59 3
 
0.3%
1.63 3
 
0.3%
1.62 3
 
0.3%
1.52 2
 
0.2%
1.545 2
 
0.2%
1.67 2
 
0.2%
1.68 2
 
0.2%
Other values (22) 26
 
2.5%
(Missing) 962
94.0%
ValueCountFrequency (%)
1.46 1
0.1%
1.48 2
0.2%
1.49 1
0.1%
1.495 1
0.1%
1.5 2
0.2%
ValueCountFrequency (%)
1.68 2
 
0.2%
1.67 2
 
0.2%
1.65 7
0.7%
1.64 1
 
0.1%
1.637 1
 
0.1%

imc_pg
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean24.72534375
Minimum18.01
Maximum37.5835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:23.606135image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum18.01
5-th percentile19.0592
Q122.0294
median24.5063
Q327.225
95-th percentile29.129355
Maximum37.5835
Range19.5735
Interquartile range (IQR)5.1956

Descriptive statistics

Standard deviation3.760354799
Coefficient of variation (CV)0.1520850362
Kurtosis0.9997708201
Mean24.72534375
Median Absolute Deviation (MAD)2.675
Skewness0.5409085793
Sum1582.422
Variance14.14026822
MonotonicityNot monotonic
2024-05-04T15:24:23.809719image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.39 2
 
0.2%
26.5731 1
 
0.1%
19.1 1
 
0.1%
28.6851 1
 
0.1%
19.4531 1
 
0.1%
24.6094 1
 
0.1%
21.91 1
 
0.1%
37.5835 1
 
0.1%
25.1359 1
 
0.1%
28.5075 1
 
0.1%
Other values (53) 53
 
5.2%
(Missing) 959
93.7%
ValueCountFrequency (%)
18.01 1
0.1%
18.37 1
0.1%
18.5224 1
0.1%
19.052 1
0.1%
19.1 1
0.1%
ValueCountFrequency (%)
37.5835 1
0.1%
32.8889 1
0.1%
31.56 1
0.1%
29.1363 1
0.1%
29.09 1
0.1%

clasif_imc
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.1%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.484375
Minimum0
Maximum1
Zeros33
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:23.976002image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5037065
Coefficient of variation (CV)1.039910193
Kurtosis-2.061340103
Mean0.484375
Median Absolute Deviation (MAD)0
Skewness0.06404139021
Sum31
Variance0.2537202381
MonotonicityNot monotonic
2024-05-04T15:24:24.110496image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 33
 
3.2%
1 31
 
3.0%
(Missing) 959
93.7%
ValueCountFrequency (%)
0 33
3.2%
1 31
3.0%
ValueCountFrequency (%)
1 31
3.0%
0 33
3.2%

gancia_1ertrim
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)60.4%
Missing970
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean1.067924528
Minimum-10
Maximum7.6
Zeros4
Zeros (%)0.4%
Negative11
Negative (%)1.1%
Memory size8.1 KiB
2024-05-04T15:24:24.272127image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile-3.2
Q10
median1.2
Q32
95-th percentile5.44
Maximum7.6
Range17.6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.854131525
Coefficient of variation (CV)2.672596658
Kurtosis3.606470513
Mean1.067924528
Median Absolute Deviation (MAD)1.2
Skewness-0.943950578
Sum56.6
Variance8.146066763
MonotonicityNot monotonic
2024-05-04T15:24:24.466392image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
2 9
 
0.9%
0 4
 
0.4%
1 3
 
0.3%
-2 3
 
0.3%
3 3
 
0.3%
1.1 2
 
0.2%
0.3 2
 
0.2%
-3 2
 
0.2%
1.6 2
 
0.2%
0.7 1
 
0.1%
Other values (22) 22
 
2.2%
(Missing) 970
94.8%
ValueCountFrequency (%)
-10 1
 
0.1%
-4.2 1
 
0.1%
-3.5 1
 
0.1%
-3 2
0.2%
-2 3
0.3%
ValueCountFrequency (%)
7.6 1
0.1%
6.2 1
0.1%
5.8 1
0.1%
5.2 1
0.1%
5 1
0.1%

peso_2otrim
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)80.8%
Missing971
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean67.02307692
Minimum42
Maximum92.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:24.696674image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile52.375
Q160.75
median66.65
Q373.2
95-th percentile80.225
Maximum92.4
Range50.4
Interquartile range (IQR)12.45

Descriptive statistics

Standard deviation9.463088568
Coefficient of variation (CV)0.1411914971
Kurtosis0.5987075249
Mean67.02307692
Median Absolute Deviation (MAD)6.5
Skewness-0.01701839037
Sum3485.2
Variance89.55004525
MonotonicityNot monotonic
2024-05-04T15:24:24.917082image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
66 3
 
0.3%
73 3
 
0.3%
64.5 2
 
0.2%
68.9 2
 
0.2%
76 2
 
0.2%
75 2
 
0.2%
72 2
 
0.2%
70 2
 
0.2%
60 1
 
0.1%
80.5 1
 
0.1%
Other values (32) 32
 
3.1%
(Missing) 971
94.9%
ValueCountFrequency (%)
42 1
0.1%
49 1
0.1%
51 1
0.1%
53.5 1
0.1%
55 1
0.1%
ValueCountFrequency (%)
92.4 1
0.1%
87 1
0.1%
80.5 1
0.1%
80 1
0.1%
78 1
0.1%

gancia_2otrim
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)57.9%
Missing985
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean5.089473684
Minimum-5
Maximum13.3
Zeros4
Zeros (%)0.4%
Negative1
Negative (%)0.1%
Memory size8.1 KiB
2024-05-04T15:24:25.080185image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-5
5-th percentile0
Q12
median5
Q37
95-th percentile12
Maximum13.3
Range18.3
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.00180969
Coefficient of variation (CV)0.7862914593
Kurtosis-0.05171156926
Mean5.089473684
Median Absolute Deviation (MAD)3
Skewness-0.01623934351
Sum193.4
Variance16.0144808
MonotonicityNot monotonic
2024-05-04T15:24:25.242712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5 4
 
0.4%
2 4
 
0.4%
0 4
 
0.4%
7 3
 
0.3%
6 3
 
0.3%
10 2
 
0.2%
1.2 2
 
0.2%
12 2
 
0.2%
5.7 1
 
0.1%
4 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 985
96.3%
ValueCountFrequency (%)
-5 1
 
0.1%
0 4
0.4%
1.2 2
0.2%
1.7 1
 
0.1%
2 4
0.4%
ValueCountFrequency (%)
13.3 1
0.1%
12 2
0.2%
10.5 1
0.1%
10 2
0.2%
9.5 1
0.1%

peso_3ertrim
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)92.9%
Missing1009
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean66.77857143
Minimum50
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:25.393198image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile53.25
Q160.275
median66.5
Q374.5
95-th percentile82.7
Maximum84
Range34
Interquartile range (IQR)14.225

Descriptive statistics

Standard deviation10.23472059
Coefficient of variation (CV)0.153263545
Kurtosis-0.7316043662
Mean66.77857143
Median Absolute Deviation (MAD)8.15
Skewness0.1579734639
Sum934.9
Variance104.7495055
MonotonicityNot monotonic
2024-05-04T15:24:25.539964image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
55 2
 
0.2%
63.7 1
 
0.1%
76 1
 
0.1%
59.7 1
 
0.1%
67 1
 
0.1%
76.5 1
 
0.1%
70 1
 
0.1%
62 1
 
0.1%
84 1
 
0.1%
50 1
 
0.1%
Other values (3) 3
 
0.3%
(Missing) 1009
98.6%
ValueCountFrequency (%)
50 1
0.1%
55 2
0.2%
59.7 1
0.1%
62 1
0.1%
63.7 1
0.1%
ValueCountFrequency (%)
84 1
0.1%
82 1
0.1%
76.5 1
0.1%
76 1
0.1%
70 1
0.1%

gancia_3ertrim
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing958
Missing (%)93.6%
Memory size8.1 KiB

peso_actual
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)82.0%
Missing962
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean65.59508197
Minimum44.8
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:25.717554image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum44.8
5-th percentile51
Q159.7
median66.2
Q372
95-th percentile80.6
Maximum87
Range42.2
Interquartile range (IQR)12.3

Descriptive statistics

Standard deviation9.300796135
Coefficient of variation (CV)0.141791059
Kurtosis-0.3722161184
Mean65.59508197
Median Absolute Deviation (MAD)6.2
Skewness-0.04815805443
Sum4001.3
Variance86.50480874
MonotonicityNot monotonic
2024-05-04T15:24:25.897953image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 3
 
0.3%
75.2 2
 
0.2%
66.5 2
 
0.2%
66.2 2
 
0.2%
52 2
 
0.2%
64.5 2
 
0.2%
65 2
 
0.2%
55 2
 
0.2%
73 2
 
0.2%
70 2
 
0.2%
Other values (40) 40
 
3.9%
(Missing) 962
94.0%
ValueCountFrequency (%)
44.8 1
0.1%
49 1
0.1%
50 1
0.1%
51 1
0.1%
51.5 1
0.1%
ValueCountFrequency (%)
87 1
0.1%
84 1
0.1%
82 1
0.1%
80.6 1
0.1%
79.8 1
0.1%

kcaltotales_cons1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean1717.745517
Minimum879.25
Maximum2805.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:26.069789image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum879.25
5-th percentile1001.228
Q11207.86
median1772
Q32061.54
95-th percentile2507.98
Maximum2805.71
Range1926.46
Interquartile range (IQR)853.68

Descriptive statistics

Standard deviation518.0179749
Coefficient of variation (CV)0.3015685209
Kurtosis-0.8450341035
Mean1717.745517
Median Absolute Deviation (MAD)483.33
Skewness0.1798958639
Sum49814.62
Variance268342.6223
MonotonicityNot monotonic
2024-05-04T15:24:26.247692image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1207.86 1
 
0.1%
2315.17 1
 
0.1%
2061.54 1
 
0.1%
1730.46 1
 
0.1%
1956 1
 
0.1%
2086 1
 
0.1%
1949.3 1
 
0.1%
1120 1
 
0.1%
1540 1
 
0.1%
1519.75 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
879.25 1
0.1%
954.82 1
0.1%
1070.84 1
0.1%
1120 1
0.1%
1181.61 1
0.1%
ValueCountFrequency (%)
2805.71 1
0.1%
2513.3 1
0.1%
2500 1
0.1%
2360.99 1
0.1%
2315.17 1
0.1%

adecuacion_energia1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing958
Missing (%)93.6%
Memory size8.1 KiB

p_proteina_r1
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)37.9%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean16.72413793
Minimum8
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:26.403535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12
Q115
median17
Q319
95-th percentile22
Maximum23
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.250236824
Coefficient of variation (CV)0.1943440575
Kurtosis0.8314506196
Mean16.72413793
Median Absolute Deviation (MAD)2
Skewness-0.4117967092
Sum485
Variance10.56403941
MonotonicityNot monotonic
2024-05-04T15:24:26.585264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
19 4
 
0.4%
16 4
 
0.4%
18 4
 
0.4%
17 4
 
0.4%
15 4
 
0.4%
22 2
 
0.2%
12 2
 
0.2%
13 2
 
0.2%
8 1
 
0.1%
23 1
 
0.1%
(Missing) 994
97.2%
ValueCountFrequency (%)
8 1
 
0.1%
12 2
0.2%
13 2
0.2%
15 4
0.4%
16 4
0.4%
ValueCountFrequency (%)
23 1
 
0.1%
22 2
0.2%
20 1
 
0.1%
19 4
0.4%
18 4
0.4%

p_hc_r1
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)62.1%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean54
Minimum42
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:26.801763image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile42.4
Q150
median53
Q357
95-th percentile66.6
Maximum70
Range28
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.0305456
Coefficient of variation (CV)0.1301952889
Kurtosis0.1438324262
Mean54
Median Absolute Deviation (MAD)3
Skewness0.400034367
Sum1566
Variance49.42857143
MonotonicityNot monotonic
2024-05-04T15:24:27.000112image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
55 3
 
0.3%
52 3
 
0.3%
53 3
 
0.3%
56 2
 
0.2%
50 2
 
0.2%
42 2
 
0.2%
51 2
 
0.2%
49 2
 
0.2%
67 1
 
0.1%
66 1
 
0.1%
Other values (8) 8
 
0.8%
(Missing) 994
97.2%
ValueCountFrequency (%)
42 2
0.2%
43 1
0.1%
45 1
0.1%
49 2
0.2%
50 2
0.2%
ValueCountFrequency (%)
70 1
0.1%
67 1
0.1%
66 1
0.1%
64 1
0.1%
61 1
0.1%

p_lipidos_r1
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)58.6%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean29.20689655
Minimum17
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:27.166188image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile18
Q124
median29
Q333
95-th percentile40
Maximum43
Range26
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.143325108
Coefficient of variation (CV)0.2445766566
Kurtosis-0.671711666
Mean29.20689655
Median Absolute Deviation (MAD)4
Skewness0.03482633468
Sum847
Variance51.0270936
MonotonicityNot monotonic
2024-05-04T15:24:27.317370image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
33 5
 
0.5%
28 3
 
0.3%
26 2
 
0.2%
40 2
 
0.2%
18 2
 
0.2%
30 2
 
0.2%
29 2
 
0.2%
39 2
 
0.2%
43 1
 
0.1%
34 1
 
0.1%
Other values (7) 7
 
0.7%
(Missing) 994
97.2%
ValueCountFrequency (%)
17 1
0.1%
18 2
0.2%
19 1
0.1%
21 1
0.1%
22 1
0.1%
ValueCountFrequency (%)
43 1
 
0.1%
40 2
 
0.2%
39 2
 
0.2%
34 1
 
0.1%
33 5
0.5%

folato_r24hmcg
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean319.4927586
Minimum128.46
Maximum565.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:27.469089image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum128.46
5-th percentile147.948
Q1193.28
median327.58
Q3406.21
95-th percentile519.298
Maximum565.33
Range436.87
Interquartile range (IQR)212.93

Descriptive statistics

Standard deviation129.3279374
Coefficient of variation (CV)0.4047914513
Kurtosis-1.104939112
Mean319.4927586
Median Absolute Deviation (MAD)131.18
Skewness0.1850545503
Sum9265.29
Variance16725.7154
MonotonicityNot monotonic
2024-05-04T15:24:27.621030image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
367.68 1
 
0.1%
205.38 1
 
0.1%
402.14 1
 
0.1%
459.32 1
 
0.1%
428.02 1
 
0.1%
334.07 1
 
0.1%
335.21 1
 
0.1%
135.08 1
 
0.1%
360.95 1
 
0.1%
196.4 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
128.46 1
0.1%
135.08 1
0.1%
167.25 1
0.1%
168.07 1
0.1%
177.7 1
0.1%
ValueCountFrequency (%)
565.33 1
0.1%
532.65 1
0.1%
499.27 1
0.1%
484.71 1
0.1%
480.07 1
0.1%

dfe_r24h
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean370.182069
Minimum121.11
Maximum702.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:27.769861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum121.11
5-th percentile144.406
Q1211.05
median379
Q3522.22
95-th percentile639.556
Maximum702.13
Range581.02
Interquartile range (IQR)311.17

Descriptive statistics

Standard deviation174.9365054
Coefficient of variation (CV)0.4725688251
Kurtosis-1.244100681
Mean370.182069
Median Absolute Deviation (MAD)148.96
Skewness0.2341285951
Sum10735.28
Variance30602.78092
MonotonicityNot monotonic
2024-05-04T15:24:27.950705image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
471.11 1
 
0.1%
153.64 1
 
0.1%
558.55 1
 
0.1%
664.92 1
 
0.1%
498.75 1
 
0.1%
317.42 1
 
0.1%
435.71 1
 
0.1%
138.25 1
 
0.1%
379 1
 
0.1%
265.63 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
121.11 1
0.1%
138.25 1
0.1%
153.64 1
0.1%
154.81 1
0.1%
186.73 1
0.1%
ValueCountFrequency (%)
702.13 1
0.1%
664.92 1
0.1%
601.51 1
0.1%
583.4 1
0.1%
563.8 1
0.1%

dfe_af_r24h
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing995
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean2290.068929
Minimum1005.05
Maximum10447.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:28.131944image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1005.05
5-th percentile1021.9245
Q11334.2425
median1470.875
Q32094.255
95-th percentile7985.5305
Maximum10447.5
Range9442.45
Interquartile range (IQR)760.0125

Descriptive statistics

Standard deviation2370.6875
Coefficient of variation (CV)1.035203557
Kurtosis9.550095905
Mean2290.068929
Median Absolute Deviation (MAD)267.05
Skewness3.187898415
Sum64121.93
Variance5620159.224
MonotonicityNot monotonic
2024-05-04T15:24:28.298826image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
10419.7 1
 
0.1%
1753.64 1
 
0.1%
1358.55 1
 
0.1%
3464.93 1
 
0.1%
1298.75 1
 
0.1%
1117.42 1
 
0.1%
2035.71 1
 
0.1%
1338.25 1
 
0.1%
1578.99 1
 
0.1%
3065.65 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 995
97.3%
ValueCountFrequency (%)
1005.05 1
0.1%
1011.05 1
0.1%
1042.12 1
0.1%
1117.42 1
0.1%
1271.11 1
0.1%
ValueCountFrequency (%)
10447.5 1
0.1%
10419.7 1
0.1%
3464.93 1
0.1%
3065.65 1
0.1%
2282.59 1
0.1%

acfolr24h_kcal
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)96.8%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.2263013548
Minimum0.066362
Maximum0.626517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:28.484910image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.066362
5-th percentile0.0973763
Q10.152215
median0.213378
Q30.266998
95-th percentile0.3897474
Maximum0.626517
Range0.560155
Interquartile range (IQR)0.114783

Descriptive statistics

Standard deviation0.1019791431
Coefficient of variation (CV)0.4506342579
Kurtosis2.907822594
Mean0.2263013548
Median Absolute Deviation (MAD)0.061115
Skewness1.326285574
Sum14.030684
Variance0.01039974563
MonotonicityNot monotonic
2024-05-04T15:24:28.684967image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.29 2
 
0.2%
0.17 2
 
0.2%
0.3 1
 
0.1%
0.152359 1
 
0.1%
0.239179 1
 
0.1%
0.151954 1
 
0.1%
0.09 1
 
0.1%
0.130257 1
 
0.1%
0.174064 1
 
0.1%
0.174785 1
 
0.1%
Other values (50) 50
 
4.9%
(Missing) 961
93.9%
ValueCountFrequency (%)
0.066362 1
0.1%
0.081586 1
0.1%
0.09 1
0.1%
0.097104 1
0.1%
0.10255 1
0.1%
ValueCountFrequency (%)
0.626517 1
0.1%
0.477146 1
0.1%
0.396236 1
0.1%
0.390037 1
0.1%
0.384245 1
0.1%

ffq_plip
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)31.2%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean26.453125
Minimum17
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:28.842999image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile20.15
Q122.75
median25
Q329
95-th percentile36.7
Maximum46
Range29
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation5.215756615
Coefficient of variation (CV)0.1971697716
Kurtosis2.262474548
Mean26.453125
Median Absolute Deviation (MAD)3
Skewness1.185172197
Sum1693
Variance27.20411706
MonotonicityNot monotonic
2024-05-04T15:24:28.991739image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
25 11
 
1.1%
22 8
 
0.8%
27 6
 
0.6%
30 5
 
0.5%
28 5
 
0.5%
21 4
 
0.4%
24 4
 
0.4%
23 3
 
0.3%
29 3
 
0.3%
35 2
 
0.2%
Other values (10) 13
 
1.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
17 1
 
0.1%
19 2
 
0.2%
20 1
 
0.1%
21 4
0.4%
22 8
0.8%
ValueCountFrequency (%)
46 1
0.1%
38 1
0.1%
37 2
0.2%
35 2
0.2%
34 1
0.1%

ffq_folatomcg
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)98.4%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean625.2475806
Minimum41
Maximum1512.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:29.159805image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile262.4525
Q1450.3575
median607
Q3771.29
95-th percentile1132.3015
Maximum1512.4
Range1471.4
Interquartile range (IQR)320.9325

Descriptive statistics

Standard deviation263.2272989
Coefficient of variation (CV)0.4209969092
Kurtosis1.274744804
Mean625.2475806
Median Absolute Deviation (MAD)168.085
Skewness0.677589073
Sum38765.35
Variance69288.61091
MonotonicityNot monotonic
2024-05-04T15:24:29.399050image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
607 2
 
0.2%
831.92 1
 
0.1%
835.12 1
 
0.1%
568.29 1
 
0.1%
250.39 1
 
0.1%
670.18 1
 
0.1%
313.17 1
 
0.1%
297.92 1
 
0.1%
587.68 1
 
0.1%
260.79 1
 
0.1%
Other values (51) 51
 
5.0%
(Missing) 961
93.9%
ValueCountFrequency (%)
41 1
0.1%
250.39 1
0.1%
260.79 1
0.1%
261.22 1
0.1%
285.87 1
0.1%
ValueCountFrequency (%)
1512.4 1
0.1%
1173.39 1
0.1%
1158 1
0.1%
1136.75 1
0.1%
1047.78 1
0.1%

ffq_dfe
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)100.0%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean751.2762903
Minimum211.65
Maximum1781
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:29.662856image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum211.65
5-th percentile330.3145
Q1511.8675
median744.125
Q3977.2375
95-th percentile1206.788
Maximum1781
Range1569.35
Interquartile range (IQR)465.37

Descriptive statistics

Standard deviation307.9727622
Coefficient of variation (CV)0.4099327586
Kurtosis0.9160669644
Mean751.2762903
Median Absolute Deviation (MAD)233.62
Skewness0.6981052562
Sum46579.13
Variance94847.22223
MonotonicityNot monotonic
2024-05-04T15:24:29.899939image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
460.8 1
 
0.1%
1042.1 1
 
0.1%
635.19 1
 
0.1%
299.68 1
 
0.1%
791.24 1
 
0.1%
340.28 1
 
0.1%
211.65 1
 
0.1%
640.59 1
 
0.1%
329.79 1
 
0.1%
737.74 1
 
0.1%
Other values (52) 52
 
5.1%
(Missing) 961
93.9%
ValueCountFrequency (%)
211.65 1
0.1%
299.68 1
0.1%
315.47 1
0.1%
329.79 1
0.1%
340.28 1
0.1%
ValueCountFrequency (%)
1781 1
0.1%
1508 1
0.1%
1269.3 1
0.1%
1211.54 1
0.1%
1116.5 1
0.1%

ffq_energia
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean2413.481406
Minimum1021.98
Maximum6219.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:30.226665image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1021.98
5-th percentile1132.604
Q11758.7175
median2384.66
Q32852
95-th percentile4086.85
Maximum6219.85
Range5197.87
Interquartile range (IQR)1093.2825

Descriptive statistics

Standard deviation966.9057108
Coefficient of variation (CV)0.4006269567
Kurtosis3.085251621
Mean2413.481406
Median Absolute Deviation (MAD)564.955
Skewness1.260492165
Sum154462.81
Variance934906.6536
MonotonicityNot monotonic
2024-05-04T15:24:30.511629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1627 2
 
0.2%
1067.36 1
 
0.1%
4132 1
 
0.1%
1691.91 1
 
0.1%
1451.3 1
 
0.1%
1762.89 1
 
0.1%
2311 1
 
0.1%
2274.45 1
 
0.1%
2768.13 1
 
0.1%
1271.8 1
 
0.1%
Other values (53) 53
 
5.2%
(Missing) 959
93.7%
ValueCountFrequency (%)
1021.98 1
0.1%
1041 1
0.1%
1067.36 1
0.1%
1129.28 1
0.1%
1151.44 1
0.1%
ValueCountFrequency (%)
6219.85 1
0.1%
4896.8 1
0.1%
4502 1
0.1%
4132 1
0.1%
3831 1
0.1%

acfolico_supl
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)3.2%
Missing961
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean0.9838709677
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:30.725856image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.127000127
Coefficient of variation (CV)0.1290820963
Kurtosis62
Mean0.9838709677
Median Absolute Deviation (MAD)0
Skewness-7.874007874
Sum61
Variance0.01612903226
MonotonicityNot monotonic
2024-05-04T15:24:30.896235image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 61
 
6.0%
0 1
 
0.1%
(Missing) 961
93.9%
ValueCountFrequency (%)
0 1
 
0.1%
1 61
6.0%
ValueCountFrequency (%)
1 61
6.0%
0 1
 
0.1%

acfolico_marca
Text

MISSING 

Distinct27
Distinct (%)41.5%
Missing958
Missing (%)93.6%
Memory size8.1 KiB
2024-05-04T15:24:31.121950image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length23
Median length16
Mean length7.2
Min length1

Characters and Unicode

Total characters468
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)27.7%

Sample

1st rowGNC.400/Matruelle
2nd rowGI
3rd rowFolivital
4th rowValdecasas.pg/.telle.1T
5th row.
ValueCountFrequency (%)
10
15.4%
folivital 8
12.3%
tele 8
12.3%
ssa 8
12.3%
folivital/..vit 3
 
4.6%
valdecasas 3
 
4.6%
cilocid 3
 
4.6%
folivital/mater 2
 
3.1%
autrin 2
 
3.1%
mater 2
 
3.1%
Other values (16) 16
24.6%
2024-05-04T15:24:31.564895image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 61
13.0%
i 48
 
10.3%
t 46
 
9.8%
e 44
 
9.4%
a 43
 
9.2%
o 24
 
5.1%
. 22
 
4.7%
v 21
 
4.5%
S 20
 
4.3%
F 16
 
3.4%
Other values (27) 123
26.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 468
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
l 61
13.0%
i 48
 
10.3%
t 46
 
9.8%
e 44
 
9.4%
a 43
 
9.2%
o 24
 
5.1%
. 22
 
4.7%
v 21
 
4.5%
S 20
 
4.3%
F 16
 
3.4%
Other values (27) 123
26.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 468
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
l 61
13.0%
i 48
 
10.3%
t 46
 
9.8%
e 44
 
9.4%
a 43
 
9.2%
o 24
 
5.1%
. 22
 
4.7%
v 21
 
4.5%
S 20
 
4.3%
F 16
 
3.4%
Other values (27) 123
26.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 468
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
l 61
13.0%
i 48
 
10.3%
t 46
 
9.8%
e 44
 
9.4%
a 43
 
9.2%
o 24
 
5.1%
. 22
 
4.7%
v 21
 
4.5%
S 20
 
4.3%
F 16
 
3.4%
Other values (27) 123
26.3%

acfsup_dosis_mg
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)10.9%
Missing968
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean0.9309090909
Minimum0.4
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:31.756587image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.4
Q10.4
median0.6
Q31
95-th percentile5
Maximum5
Range4.6
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation1.181473143
Coefficient of variation (CV)1.269160603
Kurtosis8.498285583
Mean0.9309090909
Median Absolute Deviation (MAD)0.2
Skewness3.091772838
Sum51.2
Variance1.395878788
MonotonicityNot monotonic
2024-05-04T15:24:31.906556image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.4 27
 
2.6%
1 9
 
0.9%
0.6 9
 
0.9%
0.8 4
 
0.4%
5 4
 
0.4%
1.4 2
 
0.2%
(Missing) 968
94.6%
ValueCountFrequency (%)
0.4 27
2.6%
0.6 9
 
0.9%
0.8 4
 
0.4%
1 9
 
0.9%
1.4 2
 
0.2%
ValueCountFrequency (%)
5 4
0.4%
1.4 2
 
0.2%
1 9
0.9%
0.8 4
0.4%
0.6 9
0.9%

supl_1ertrim
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.3%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean0.6833333333
Minimum0
Maximum1
Zeros19
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:32.049135image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4691017983
Coefficient of variation (CV)0.6864904365
Kurtosis-1.393801444
Mean0.6833333333
Median Absolute Deviation (MAD)0
Skewness-0.8085885541
Sum41
Variance0.2200564972
MonotonicityNot monotonic
2024-05-04T15:24:32.193555image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 41
 
4.0%
0 19
 
1.9%
(Missing) 963
94.1%
ValueCountFrequency (%)
0 19
1.9%
1 41
4.0%
ValueCountFrequency (%)
1 41
4.0%
0 19
1.9%

multi0_acfol1
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)5.4%
Missing967
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean0.6964285714
Minimum0
Maximum2
Zeros18
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:32.324538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5016207498
Coefficient of variation (CV)0.7202759484
Kurtosis-0.7892269452
Mean0.6964285714
Median Absolute Deviation (MAD)0
Skewness-0.4227157885
Sum39
Variance0.2516233766
MonotonicityNot monotonic
2024-05-04T15:24:32.470918image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 37
 
3.6%
0 18
 
1.8%
2 1
 
0.1%
(Missing) 967
94.5%
ValueCountFrequency (%)
0 18
1.8%
1 37
3.6%
2 1
 
0.1%
ValueCountFrequency (%)
2 1
 
0.1%
1 37
3.6%
0 18
1.8%

acfolico_papa
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.3%
Missing962
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean0.08196721311
Minimum0
Maximum1
Zeros56
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:32.613798image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2765912729
Coefficient of variation (CV)3.374413529
Kurtosis8.029264423
Mean0.08196721311
Median Absolute Deviation (MAD)0
Skewness3.125213499
Sum5
Variance0.07650273224
MonotonicityNot monotonic
2024-05-04T15:24:32.776221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 56
 
5.5%
1 5
 
0.5%
(Missing) 962
94.0%
ValueCountFrequency (%)
0 56
5.5%
1 5
 
0.5%
ValueCountFrequency (%)
1 5
 
0.5%
0 56
5.5%

ins_1av
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)92.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean11.704
Minimum5.1
Maximum32.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:32.936214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile6.14
Q17.8
median9.6
Q312.7
95-th percentile23.42
Maximum32.6
Range27.5
Interquartile range (IQR)4.9

Descriptive statistics

Standard deviation6.476462512
Coefficient of variation (CV)0.5533546234
Kurtosis3.637293659
Mean11.704
Median Absolute Deviation (MAD)3
Skewness1.83892066
Sum292.6
Variance41.94456667
MonotonicityNot monotonic
2024-05-04T15:24:33.094928image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
12.6 2
 
0.2%
6.4 2
 
0.2%
8.6 1
 
0.1%
9.7 1
 
0.1%
6.8 1
 
0.1%
8.3 1
 
0.1%
6.3 1
 
0.1%
7.8 1
 
0.1%
21.9 1
 
0.1%
8.2 1
 
0.1%
Other values (13) 13
 
1.3%
(Missing) 998
97.6%
ValueCountFrequency (%)
5.1 1
0.1%
6.1 1
0.1%
6.3 1
0.1%
6.4 2
0.2%
6.8 1
0.1%
ValueCountFrequency (%)
32.6 1
0.1%
23.8 1
0.1%
21.9 1
0.1%
18.5 1
0.1%
14.9 1
0.1%

gluc_1av
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)63.3%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean88.6
Minimum77
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:33.307547image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum77
5-th percentile81
Q185.25
median88
Q392.75
95-th percentile96.55
Maximum99
Range22
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation5.295411156
Coefficient of variation (CV)0.05976762027
Kurtosis-0.4112262673
Mean88.6
Median Absolute Deviation (MAD)4
Skewness-0.1045595138
Sum2658
Variance28.04137931
MonotonicityNot monotonic
2024-05-04T15:24:33.473359image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
88 5
 
0.5%
94 2
 
0.2%
82 2
 
0.2%
93 2
 
0.2%
89 2
 
0.2%
81 2
 
0.2%
87 2
 
0.2%
91 2
 
0.2%
99 1
 
0.1%
83 1
 
0.1%
Other values (9) 9
 
0.9%
(Missing) 993
97.1%
ValueCountFrequency (%)
77 1
0.1%
81 2
0.2%
82 2
0.2%
83 1
0.1%
84 1
0.1%
ValueCountFrequency (%)
99 1
0.1%
97 1
0.1%
96 1
0.1%
95 1
0.1%
94 2
0.2%

col_1av
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)93.5%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean178.7096774
Minimum121
Maximum353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:34.113024image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum121
5-th percentile131.5
Q1153.5
median168
Q3192.5
95-th percentile231.5
Maximum353
Range232
Interquartile range (IQR)39

Descriptive statistics

Standard deviation42.85883304
Coefficient of variation (CV)0.239823795
Kurtosis8.393098847
Mean178.7096774
Median Absolute Deviation (MAD)18
Skewness2.341967587
Sum5540
Variance1836.87957
MonotonicityNot monotonic
2024-05-04T15:24:34.284116image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
153 2
 
0.2%
168 2
 
0.2%
353 1
 
0.1%
136 1
 
0.1%
193 1
 
0.1%
121 1
 
0.1%
161 1
 
0.1%
202 1
 
0.1%
160 1
 
0.1%
237 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 992
97.0%
ValueCountFrequency (%)
121 1
0.1%
127 1
0.1%
136 1
0.1%
145 1
0.1%
150 1
0.1%
ValueCountFrequency (%)
353 1
0.1%
237 1
0.1%
226 1
0.1%
224 1
0.1%
209 1
0.1%

tg_1av
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)96.8%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean140.2903226
Minimum72
Maximum306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:34.448311image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile80
Q1107.5
median130
Q3144.5
95-th percentile265.5
Maximum306
Range234
Interquartile range (IQR)37

Descriptive statistics

Standard deviation58.29933879
Coefficient of variation (CV)0.4155620838
Kurtosis2.022508008
Mean140.2903226
Median Absolute Deviation (MAD)21
Skewness1.56792481
Sum4349
Variance3398.812903
MonotonicityNot monotonic
2024-05-04T15:24:34.623048image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
109 2
 
0.2%
306 1
 
0.1%
133 1
 
0.1%
127 1
 
0.1%
79 1
 
0.1%
208 1
 
0.1%
108 1
 
0.1%
132 1
 
0.1%
107 1
 
0.1%
157 1
 
0.1%
Other values (20) 20
 
2.0%
(Missing) 992
97.0%
ValueCountFrequency (%)
72 1
0.1%
79 1
0.1%
81 1
0.1%
86 1
0.1%
92 1
0.1%
ValueCountFrequency (%)
306 1
0.1%
285 1
0.1%
246 1
0.1%
241 1
0.1%
208 1
0.1%

ldl_1av
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)87.1%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean91.87096774
Minimum49
Maximum228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:34.808910image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile63
Q170.5
median88
Q3107.5
95-th percentile128.5
Maximum228
Range179
Interquartile range (IQR)37

Descriptive statistics

Standard deviation32.53484484
Coefficient of variation (CV)0.3541363027
Kurtosis9.583328093
Mean91.87096774
Median Absolute Deviation (MAD)18
Skewness2.51515961
Sum2848
Variance1058.516129
MonotonicityNot monotonic
2024-05-04T15:24:35.018419image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
68 2
 
0.2%
71 2
 
0.2%
67 2
 
0.2%
92 2
 
0.2%
228 1
 
0.1%
66 1
 
0.1%
94 1
 
0.1%
60 1
 
0.1%
72 1
 
0.1%
109 1
 
0.1%
Other values (17) 17
 
1.7%
(Missing) 992
97.0%
ValueCountFrequency (%)
49 1
0.1%
60 1
0.1%
66 1
0.1%
67 2
0.2%
68 2
0.2%
ValueCountFrequency (%)
228 1
0.1%
132 1
0.1%
125 1
0.1%
114 1
0.1%
112 1
0.1%

hdl_1av
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)67.7%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean58.83870968
Minimum31
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:35.227676image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile37.5
Q153
median59
Q367.5
95-th percentile79.5
Maximum85
Range54
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation12.83509972
Coefficient of variation (CV)0.218140401
Kurtosis-0.02814303147
Mean58.83870968
Median Absolute Deviation (MAD)8
Skewness-0.2105369523
Sum1824
Variance164.7397849
MonotonicityNot monotonic
2024-05-04T15:24:35.401577image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
57 3
 
0.3%
68 2
 
0.2%
59 2
 
0.2%
50 2
 
0.2%
61 2
 
0.2%
54 2
 
0.2%
70 2
 
0.2%
67 2
 
0.2%
39 2
 
0.2%
85 1
 
0.1%
Other values (11) 11
 
1.1%
(Missing) 992
97.0%
ValueCountFrequency (%)
31 1
0.1%
36 1
0.1%
39 2
0.2%
42 1
0.1%
50 2
0.2%
ValueCountFrequency (%)
85 1
0.1%
80 1
0.1%
79 1
0.1%
72 1
0.1%
70 2
0.2%

pgn_1av
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean50.775
Minimum14.945
Maximum112.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:35.553561image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum14.945
5-th percentile25.89925
Q137.591
median43.653
Q363.4435
95-th percentile80.738
Maximum112.4
Range97.455
Interquartile range (IQR)25.8525

Descriptive statistics

Standard deviation22.39192031
Coefficient of variation (CV)0.4410028618
Kurtosis1.297580141
Mean50.775
Median Absolute Deviation (MAD)12.27
Skewness0.9979608152
Sum1117.05
Variance501.398095
MonotonicityNot monotonic
2024-05-04T15:24:35.709912image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
52.798 1
 
0.1%
43.614 1
 
0.1%
59.323 1
 
0.1%
25.724 1
 
0.1%
77.85 1
 
0.1%
45.111 1
 
0.1%
31.232 1
 
0.1%
71.938 1
 
0.1%
39.493 1
 
0.1%
54.67 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
14.945 1
0.1%
25.724 1
0.1%
29.229 1
0.1%
31.232 1
0.1%
31.534 1
0.1%
ValueCountFrequency (%)
112.4 1
0.1%
80.89 1
0.1%
77.85 1
0.1%
74.281 1
0.1%
71.938 1
0.1%

e2_1av
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean1511.648182
Minimum475.42
Maximum3222.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:35.863002image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum475.42
5-th percentile503.6845
Q1902.975
median1234.4
Q32263.725
95-th percentile2972.25
Maximum3222.8
Range2747.38
Interquartile range (IQR)1360.75

Descriptive statistics

Standard deviation880.0596861
Coefficient of variation (CV)0.5821855222
Kurtosis-0.918445532
Mean1511.648182
Median Absolute Deviation (MAD)602.26
Skewness0.6401622791
Sum33256.26
Variance774505.0512
MonotonicityNot monotonic
2024-05-04T15:24:36.037503image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2811.7 1
 
0.1%
726.67 1
 
0.1%
2445.9 1
 
0.1%
529.42 1
 
0.1%
2980.7 1
 
0.1%
1187.1 1
 
0.1%
1186.1 1
 
0.1%
502.33 1
 
0.1%
2155.8 1
 
0.1%
2700.8 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
475.42 1
0.1%
502.33 1
0.1%
529.42 1
0.1%
537.61 1
0.1%
726.67 1
0.1%
ValueCountFrequency (%)
3222.8 1
0.1%
2980.7 1
0.1%
2811.7 1
0.1%
2700.8 1
0.1%
2445.9 1
0.1%

lep_1av
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)100.0%
Missing1006
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean12.00064706
Minimum4.491
Maximum19.299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:36.204281image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.491
5-th percentile5.3574
Q17.104
median12.278
Q315.895
95-th percentile19.0614
Maximum19.299
Range14.808
Interquartile range (IQR)8.791

Descriptive statistics

Standard deviation5.072659435
Coefficient of variation (CV)0.422698827
Kurtosis-1.387371226
Mean12.00064706
Median Absolute Deviation (MAD)5.174
Skewness0.0976812645
Sum204.011
Variance25.73187374
MonotonicityNot monotonic
2024-05-04T15:24:36.384514image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4.491 1
 
0.1%
15.895 1
 
0.1%
9.098 1
 
0.1%
8.841 1
 
0.1%
7.104 1
 
0.1%
10.943 1
 
0.1%
19.299 1
 
0.1%
19.002 1
 
0.1%
12.278 1
 
0.1%
14.167 1
 
0.1%
Other values (7) 7
 
0.7%
(Missing) 1006
98.3%
ValueCountFrequency (%)
4.491 1
0.1%
5.574 1
0.1%
6.219 1
0.1%
6.995 1
0.1%
7.104 1
0.1%
ValueCountFrequency (%)
19.299 1
0.1%
19.002 1
0.1%
18.901 1
0.1%
18.055 1
0.1%
15.895 1
0.1%

adipo_1av
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean11.068
Minimum3.351
Maximum24.221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:36.560838image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.351
5-th percentile5.5688
Q18.308
median9.788
Q312.414
95-th percentile19.4002
Maximum24.221
Range20.87
Interquartile range (IQR)4.106

Descriptive statistics

Standard deviation4.808299777
Coefficient of variation (CV)0.4344325784
Kurtosis1.178255482
Mean11.068
Median Absolute Deviation (MAD)1.718
Skewness1.099040304
Sum276.7
Variance23.11974675
MonotonicityNot monotonic
2024-05-04T15:24:36.722465image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8.96 1
 
0.1%
10.182 1
 
0.1%
11.046 1
 
0.1%
9.504 1
 
0.1%
9.676 1
 
0.1%
8.821 1
 
0.1%
9.827 1
 
0.1%
19.649 1
 
0.1%
8.021 1
 
0.1%
16.12 1
 
0.1%
Other values (15) 15
 
1.5%
(Missing) 998
97.6%
ValueCountFrequency (%)
3.351 1
0.1%
5.453 1
0.1%
6.032 1
0.1%
6.848 1
0.1%
8.021 1
0.1%
ValueCountFrequency (%)
24.221 1
0.1%
19.649 1
0.1%
18.405 1
0.1%
16.703 1
0.1%
16.12 1
0.1%

peso_1av
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean64.79
Minimum42.3
Maximum80.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:36.888746image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum42.3
5-th percentile47.815
Q159.6
median65.6
Q371.525
95-th percentile78.18
Maximum80.5
Range38.2
Interquartile range (IQR)11.925

Descriptive statistics

Standard deviation9.631390847
Coefficient of variation (CV)0.1486555155
Kurtosis-0.02370721378
Mean64.79
Median Absolute Deviation (MAD)6.5
Skewness-0.5886318168
Sum1943.7
Variance92.76368966
MonotonicityNot monotonic
2024-05-04T15:24:37.075068image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
72.6 2
 
0.2%
63.7 1
 
0.1%
56 1
 
0.1%
69.8 1
 
0.1%
51.5 1
 
0.1%
70.1 1
 
0.1%
65 1
 
0.1%
52.5 1
 
0.1%
52 1
 
0.1%
75.2 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 993
97.1%
ValueCountFrequency (%)
42.3 1
0.1%
44.8 1
0.1%
51.5 1
0.1%
52 1
0.1%
52.5 1
0.1%
ValueCountFrequency (%)
80.5 1
0.1%
79.8 1
0.1%
76.2 1
0.1%
75.3 1
0.1%
75.2 1
0.1%

talla_1av
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)77.4%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean1.575193548
Minimum1.495
Maximum1.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:37.299827image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.495
5-th percentile1.514
Q11.5425
median1.565
Q31.611
95-th percentile1.6385
Maximum1.67
Range0.175
Interquartile range (IQR)0.0685

Descriptive statistics

Standard deviation0.04561974671
Coefficient of variation (CV)0.02896135955
Kurtosis-0.9515383186
Mean1.575193548
Median Absolute Deviation (MAD)0.035
Skewness0.2006938421
Sum48.831
Variance0.00208116129
MonotonicityNot monotonic
2024-05-04T15:24:37.469988image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1.52 2
 
0.2%
1.56 2
 
0.2%
1.55 2
 
0.2%
1.545 2
 
0.2%
1.6 2
 
0.2%
1.59 2
 
0.2%
1.63 2
 
0.2%
1.595 1
 
0.1%
1.495 1
 
0.1%
1.573 1
 
0.1%
Other values (14) 14
 
1.4%
(Missing) 992
97.0%
ValueCountFrequency (%)
1.495 1
0.1%
1.513 1
0.1%
1.515 1
0.1%
1.52 2
0.2%
1.53 1
0.1%
ValueCountFrequency (%)
1.67 1
0.1%
1.64 1
0.1%
1.637 1
0.1%
1.634 1
0.1%
1.63 2
0.2%

cmb_1av
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)74.2%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean28.41612903
Minimum22
Maximum34.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:37.649032image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile23.95
Q126.65
median28.5
Q330
95-th percentile32.5
Maximum34.6
Range12.6
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation2.842076327
Coefficient of variation (CV)0.1000163085
Kurtosis0.03291728555
Mean28.41612903
Median Absolute Deviation (MAD)1.5
Skewness-0.09873941791
Sum880.9
Variance8.077397849
MonotonicityNot monotonic
2024-05-04T15:24:37.819350image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
26 3
 
0.3%
28.5 3
 
0.3%
24.4 2
 
0.2%
27.5 2
 
0.2%
29.8 2
 
0.2%
30 2
 
0.2%
31.7 1
 
0.1%
27 1
 
0.1%
28 1
 
0.1%
30.1 1
 
0.1%
Other values (13) 13
 
1.3%
(Missing) 992
97.0%
ValueCountFrequency (%)
22 1
 
0.1%
23.5 1
 
0.1%
24.4 2
0.2%
26 3
0.3%
26.3 1
 
0.1%
ValueCountFrequency (%)
34.6 1
0.1%
33 1
0.1%
32 1
0.1%
31.9 1
0.1%
31.7 1
0.1%

pct_1av
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)71.0%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean29
Minimum15
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:37.984346image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile19.75
Q123.75
median29
Q333
95-th percentile40.25
Maximum49
Range34
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation7.214568594
Coefficient of variation (CV)0.2487782274
Kurtosis0.7288353761
Mean29
Median Absolute Deviation (MAD)5
Skewness0.621136916
Sum899
Variance52.05
MonotonicityNot monotonic
2024-05-04T15:24:38.146943image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
33 4
 
0.4%
25 2
 
0.2%
22 2
 
0.2%
30 2
 
0.2%
24 2
 
0.2%
23 2
 
0.2%
29 2
 
0.2%
41 1
 
0.1%
15 1
 
0.1%
20 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 992
97.0%
ValueCountFrequency (%)
15 1
0.1%
19.5 1
0.1%
20 1
0.1%
22 2
0.2%
23 2
0.2%
ValueCountFrequency (%)
49 1
0.1%
41 1
0.1%
39.5 1
0.1%
39 1
0.1%
35.5 1
0.1%

peso_actual2
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean69.28636364
Minimum51
Maximum92.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:38.311817image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile53.655
Q163.575
median69.15
Q375.075
95-th percentile80.475
Maximum92.4
Range41.4
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation9.63852861
Coefficient of variation (CV)0.1391114803
Kurtosis0.4684213437
Mean69.28636364
Median Absolute Deviation (MAD)6.05
Skewness0.1389973599
Sum1524.3
Variance92.90123377
MonotonicityNot monotonic
2024-05-04T15:24:38.457296image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
73.8 1
 
0.1%
56.6 1
 
0.1%
76.6 1
 
0.1%
73 1
 
0.1%
61.1 1
 
0.1%
53.5 1
 
0.1%
63.1 1
 
0.1%
80.5 1
 
0.1%
59.6 1
 
0.1%
69.3 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
51 1
0.1%
53.5 1
0.1%
56.6 1
0.1%
59.6 1
0.1%
61.1 1
0.1%
ValueCountFrequency (%)
92.4 1
0.1%
80.5 1
0.1%
80 1
0.1%
76.6 1
0.1%
76.5 1
0.1%

ger2
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean1138.138227
Minimum922.422
Maximum1436.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:38.610310image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum922.422
5-th percentile948.0535
Q11054.5475
median1133.96
Q31255.39
95-th percentile1337.268
Maximum1436.22
Range513.798
Interquartile range (IQR)200.8425

Descriptive statistics

Standard deviation139.5120937
Coefficient of variation (CV)0.1225792179
Kurtosis-0.6383751817
Mean1138.138227
Median Absolute Deviation (MAD)105.1
Skewness0.3707570849
Sum25039.041
Variance19463.62429
MonotonicityNot monotonic
2024-05-04T15:24:38.772235image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1196.75 1
 
0.1%
922.422 1
 
0.1%
1215.4 1
 
0.1%
1144.68 1
 
0.1%
1060.33 1
 
0.1%
974.72 1
 
0.1%
985.819 1
 
0.1%
1337.94 1
 
0.1%
1005.2 1
 
0.1%
1154.53 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
922.422 1
0.1%
946.65 1
0.1%
974.72 1
0.1%
985.819 1
0.1%
1005.2 1
0.1%
ValueCountFrequency (%)
1436.22 1
0.1%
1337.94 1
0.1%
1324.5 1
0.1%
1277.86 1
0.1%
1270.97 1
0.1%

kcaltotales_cons2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean2047.514483
Minimum760.43
Maximum3642.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:38.946831image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum760.43
5-th percentile1005.6
Q11565.965
median1922.38
Q32505.18
95-th percentile3403.4895
Maximum3642.2
Range2881.77
Interquartile range (IQR)939.215

Descriptive statistics

Standard deviation699.9303794
Coefficient of variation (CV)0.3418439211
Kurtosis-0.3818992144
Mean2047.514483
Median Absolute Deviation (MAD)427.945
Skewness0.4343725834
Sum118755.84
Variance489902.536
MonotonicityNot monotonic
2024-05-04T15:24:39.132493image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
975 1
 
0.1%
1781.13 1
 
0.1%
2382.73 1
 
0.1%
760.43 1
 
0.1%
3518.31 1
 
0.1%
1011 1
 
0.1%
1415 1
 
0.1%
1576.9 1
 
0.1%
1494.42 1
 
0.1%
2434.89 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
760.43 1
0.1%
866.65 1
0.1%
975 1
0.1%
1011 1
0.1%
1085.7 1
0.1%
ValueCountFrequency (%)
3642.2 1
0.1%
3518.31 1
0.1%
3473.13 1
0.1%
3391.2 1
0.1%
3131.65 1
0.1%

p_protei2
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)29.3%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean15.68965517
Minimum8
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:39.294281image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q113
median15.5
Q317
95-th percentile22
Maximum25
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.569888182
Coefficient of variation (CV)0.2275313347
Kurtosis0.2396496664
Mean15.68965517
Median Absolute Deviation (MAD)2.5
Skewness0.3930234023
Sum910
Variance12.74410163
MonotonicityNot monotonic
2024-05-04T15:24:39.467443image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
17 8
 
0.8%
16 7
 
0.7%
15 7
 
0.7%
14 6
 
0.6%
13 6
 
0.6%
12 5
 
0.5%
19 3
 
0.3%
18 3
 
0.3%
22 3
 
0.3%
10 2
 
0.2%
Other values (7) 8
 
0.8%
(Missing) 965
94.3%
ValueCountFrequency (%)
8 1
 
0.1%
9 1
 
0.1%
10 2
 
0.2%
11 1
 
0.1%
12 5
0.5%
ValueCountFrequency (%)
25 1
 
0.1%
24 1
 
0.1%
22 3
0.3%
21 1
 
0.1%
20 2
0.2%

p_hc_r2
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)46.6%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean56.60344828
Minimum38
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:39.631926image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile43.85
Q150.5
median57.5
Q362.75
95-th percentile66.15
Maximum75
Range37
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation7.734497013
Coefficient of variation (CV)0.1366435659
Kurtosis-0.1710420439
Mean56.60344828
Median Absolute Deviation (MAD)5.5
Skewness-0.3190668625
Sum3283
Variance59.82244404
MonotonicityNot monotonic
2024-05-04T15:24:39.820631image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
63 5
 
0.5%
56 5
 
0.5%
50 4
 
0.4%
59 4
 
0.4%
66 3
 
0.3%
62 3
 
0.3%
52 3
 
0.3%
65 3
 
0.3%
58 3
 
0.3%
54 2
 
0.2%
Other values (17) 23
 
2.2%
(Missing) 965
94.3%
ValueCountFrequency (%)
38 1
0.1%
39 1
0.1%
43 1
0.1%
44 1
0.1%
45 1
0.1%
ValueCountFrequency (%)
75 1
 
0.1%
69 1
 
0.1%
67 1
 
0.1%
66 3
0.3%
65 3
0.3%

p_lipidos_r2
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)46.6%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean27.82758621
Minimum12
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:39.986897image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile17.85
Q122.25
median27
Q333
95-th percentile41
Maximum50
Range38
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation7.588398188
Coefficient of variation (CV)0.2726933673
Kurtosis0.1897663233
Mean27.82758621
Median Absolute Deviation (MAD)5
Skewness0.5397471324
Sum1614
Variance57.58378705
MonotonicityNot monotonic
2024-05-04T15:24:40.175363image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
23 6
 
0.6%
26 5
 
0.5%
20 4
 
0.4%
27 4
 
0.4%
30 3
 
0.3%
28 3
 
0.3%
34 3
 
0.3%
21 3
 
0.3%
31 3
 
0.3%
22 3
 
0.3%
Other values (17) 21
 
2.1%
(Missing) 965
94.3%
ValueCountFrequency (%)
12 1
0.1%
15 1
0.1%
17 1
0.1%
18 1
0.1%
19 1
0.1%
ValueCountFrequency (%)
50 1
0.1%
43 1
0.1%
41 2
0.2%
40 1
0.1%
38 2
0.2%

folato_r24hmcg2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean401.4822414
Minimum97.67
Maximum956.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:40.356980image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum97.67
5-th percentile190.4975
Q1277.045
median365.805
Q3463.8575
95-th percentile727.3875
Maximum956.21
Range858.54
Interquartile range (IQR)186.8125

Descriptive statistics

Standard deviation179.7893817
Coefficient of variation (CV)0.4478140329
Kurtosis1.325749189
Mean401.4822414
Median Absolute Deviation (MAD)94.54
Skewness1.059569525
Sum23285.97
Variance32324.22175
MonotonicityNot monotonic
2024-05-04T15:24:40.540012image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108.22 1
 
0.1%
338.81 1
 
0.1%
475.89 1
 
0.1%
97.67 1
 
0.1%
364.94 1
 
0.1%
194.6 1
 
0.1%
247.3 1
 
0.1%
724.26 1
 
0.1%
356.71 1
 
0.1%
444.26 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
97.67 1
0.1%
108.22 1
0.1%
167.25 1
0.1%
194.6 1
0.1%
194.9 1
0.1%
ValueCountFrequency (%)
956.21 1
0.1%
911.58 1
0.1%
745.11 1
0.1%
724.26 1
0.1%
702.48 1
0.1%

dfe_r24h2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean5244.781379
Minimum115.55
Maximum276887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:40.711694image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum115.55
5-th percentile203.527
Q1320.495
median424.38
Q3573.35
95-th percentile1044.5705
Maximum276887
Range276771.45
Interquartile range (IQR)252.855

Descriptive statistics

Standard deviation36295.0428
Coefficient of variation (CV)6.920220343
Kurtosis57.99386367
Mean5244.781379
Median Absolute Deviation (MAD)117.63
Skewness7.615179709
Sum304197.32
Variance1317330132
MonotonicityNot monotonic
2024-05-04T15:24:40.901823image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
144.01 1
 
0.1%
387.7 1
 
0.1%
569.9 1
 
0.1%
115.55 1
 
0.1%
316.16 1
 
0.1%
254 1
 
0.1%
246.3 1
 
0.1%
762.89 1
 
0.1%
352.44 1
 
0.1%
485.49 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
115.55 1
0.1%
132.73 1
0.1%
144.01 1
0.1%
214.03 1
0.1%
245.02 1
0.1%
ValueCountFrequency (%)
276887 1
0.1%
1504.11 1
0.1%
1240.47 1
0.1%
1010 1
0.1%
979.15 1
0.1%

acfolico_supl2
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)4.3%
Missing1000
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:41.059414image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum23
Variance0
MonotonicityIncreasing
2024-05-04T15:24:41.196786image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 23
 
2.2%
(Missing) 1000
97.8%
ValueCountFrequency (%)
1 23
2.2%
ValueCountFrequency (%)
1 23
2.2%

acfolico_marca2
Text

MISSING 

Distinct19
Distinct (%)29.2%
Missing958
Missing (%)93.6%
Memory size8.1 KiB
2024-05-04T15:24:41.334234image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length19
Median length1
Mean length4.292307692
Min length1

Characters and Unicode

Total characters279
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)20.0%

Sample

1st row.
2nd row.
3rd rowMater
4th rowtele
5th row.
ValueCountFrequency (%)
35
53.8%
tele 6
 
9.2%
mater 4
 
6.2%
materna 3
 
4.6%
folivital 3
 
4.6%
vit/folivital 2
 
3.1%
folivital/.telle 1
 
1.5%
gelcavit 1
 
1.5%
seguro.popular 1
 
1.5%
cilocid 1
 
1.5%
Other values (8) 8
 
12.3%
2024-05-04T15:24:41.674911image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 45
16.1%
t 31
11.1%
e 30
10.8%
l 30
10.8%
a 25
9.0%
i 24
8.6%
r 14
 
5.0%
o 11
 
3.9%
v 11
 
3.9%
n 10
 
3.6%
Other values (16) 48
17.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 279
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 45
16.1%
t 31
11.1%
e 30
10.8%
l 30
10.8%
a 25
9.0%
i 24
8.6%
r 14
 
5.0%
o 11
 
3.9%
v 11
 
3.9%
n 10
 
3.6%
Other values (16) 48
17.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 279
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 45
16.1%
t 31
11.1%
e 30
10.8%
l 30
10.8%
a 25
9.0%
i 24
8.6%
r 14
 
5.0%
o 11
 
3.9%
v 11
 
3.9%
n 10
 
3.6%
Other values (16) 48
17.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 279
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 45
16.1%
t 31
11.1%
e 30
10.8%
l 30
10.8%
a 25
9.0%
i 24
8.6%
r 14
 
5.0%
o 11
 
3.9%
v 11
 
3.9%
n 10
 
3.6%
Other values (16) 48
17.2%

acfsup_dosis_mg2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing958
Missing (%)93.6%
Memory size8.1 KiB

multi0_acfol1_3
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)9.5%
Missing1002
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean0.3333333333
Minimum0
Maximum1
Zeros14
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:41.835781image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4830458915
Coefficient of variation (CV)1.449137675
Kurtosis-1.578947368
Mean0.3333333333
Median Absolute Deviation (MAD)0
Skewness0.7627040393
Sum7
Variance0.2333333333
MonotonicityNot monotonic
2024-05-04T15:24:41.975605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 14
 
1.4%
1 7
 
0.7%
(Missing) 1002
97.9%
ValueCountFrequency (%)
0 14
1.4%
1 7
0.7%
ValueCountFrequency (%)
1 7
0.7%
0 14
1.4%

peso_2av
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean69.28636364
Minimum51
Maximum92.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:42.137221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile53.655
Q163.575
median69.15
Q375.075
95-th percentile80.475
Maximum92.4
Range41.4
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation9.63852861
Coefficient of variation (CV)0.1391114803
Kurtosis0.4684213437
Mean69.28636364
Median Absolute Deviation (MAD)6.05
Skewness0.1389973599
Sum1524.3
Variance92.90123377
MonotonicityNot monotonic
2024-05-04T15:24:42.285044image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
73.8 1
 
0.1%
56.6 1
 
0.1%
76.6 1
 
0.1%
73 1
 
0.1%
61.1 1
 
0.1%
53.5 1
 
0.1%
63.1 1
 
0.1%
80.5 1
 
0.1%
59.6 1
 
0.1%
69.3 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
51 1
0.1%
53.5 1
0.1%
56.6 1
0.1%
59.6 1
0.1%
61.1 1
0.1%
ValueCountFrequency (%)
92.4 1
0.1%
80.5 1
0.1%
80 1
0.1%
76.6 1
0.1%
76.5 1
0.1%

talla_2av
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean1.578909091
Minimum1.495
Maximum1.665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:42.424304image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.495
5-th percentile1.5131
Q11.54125
median1.5815
Q31.623
95-th percentile1.63985
Maximum1.665
Range0.17
Interquartile range (IQR)0.08175

Descriptive statistics

Standard deviation0.04788668081
Coefficient of variation (CV)0.03032896643
Kurtosis-1.063154191
Mean1.578909091
Median Absolute Deviation (MAD)0.044
Skewness0.01157012389
Sum34.736
Variance0.002293134199
MonotonicityNot monotonic
2024-05-04T15:24:42.570851image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.63 3
 
0.3%
1.6 2
 
0.2%
1.55 1
 
0.1%
1.561 1
 
0.1%
1.573 1
 
0.1%
1.53 1
 
0.1%
1.54 1
 
0.1%
1.515 1
 
0.1%
1.495 1
 
0.1%
1.513 1
 
0.1%
Other values (9) 9
 
0.9%
(Missing) 1001
97.8%
ValueCountFrequency (%)
1.495 1
0.1%
1.513 1
0.1%
1.515 1
0.1%
1.53 1
0.1%
1.535 1
0.1%
ValueCountFrequency (%)
1.665 1
 
0.1%
1.64 1
 
0.1%
1.637 1
 
0.1%
1.63 3
0.3%
1.602 1
 
0.1%

cmb_2av
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean28.98181818
Minimum23.5
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:42.719252image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum23.5
5-th percentile23.6
Q127.575
median29.15
Q330.825
95-th percentile32.095
Maximum35
Range11.5
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.760544522
Coefficient of variation (CV)0.09525090887
Kurtosis0.4450220238
Mean28.98181818
Median Absolute Deviation (MAD)1.7
Skewness-0.1978577386
Sum637.6
Variance7.620606061
MonotonicityNot monotonic
2024-05-04T15:24:42.873991image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
29.5 3
 
0.3%
23.5 2
 
0.2%
31.8 1
 
0.1%
25.5 1
 
0.1%
30.6 1
 
0.1%
29 1
 
0.1%
28 1
 
0.1%
35 1
 
0.1%
27.3 1
 
0.1%
29.2 1
 
0.1%
Other values (9) 9
 
0.9%
(Missing) 1001
97.8%
ValueCountFrequency (%)
23.5 2
0.2%
25.5 1
0.1%
26.5 1
0.1%
27.3 1
0.1%
27.5 1
0.1%
ValueCountFrequency (%)
35 1
0.1%
32.1 1
0.1%
32 1
0.1%
31.8 1
0.1%
31 1
0.1%

pct_2av
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)81.8%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean31.04545455
Minimum20
Maximum48.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:43.016914image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile23
Q125.25
median31
Q334.5
95-th percentile42.825
Maximum48.5
Range28.5
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation7.122915887
Coefficient of variation (CV)0.2294350652
Kurtosis0.2665296839
Mean31.04545455
Median Absolute Deviation (MAD)5
Skewness0.6766646078
Sum683
Variance50.73593074
MonotonicityNot monotonic
2024-05-04T15:24:43.158380image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
23 2
 
0.2%
34.5 2
 
0.2%
31 2
 
0.2%
24 2
 
0.2%
39.5 1
 
0.1%
43 1
 
0.1%
26 1
 
0.1%
38 1
 
0.1%
20 1
 
0.1%
29 1
 
0.1%
Other values (8) 8
 
0.8%
(Missing) 1001
97.8%
ValueCountFrequency (%)
20 1
0.1%
23 2
0.2%
24 2
0.2%
25 1
0.1%
26 1
0.1%
ValueCountFrequency (%)
48.5 1
0.1%
43 1
0.1%
39.5 1
0.1%
38 1
0.1%
36 1
0.1%

fib_r1
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean18.176
Minimum5.03
Maximum37.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:43.305047image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.03
5-th percentile10.414
Q113.6075
median18.02
Q321.42
95-th percentile27.6745
Maximum37.15
Range32.12
Interquartile range (IQR)7.8125

Descriptive statistics

Standard deviation6.495510704
Coefficient of variation (CV)0.3573674463
Kurtosis1.302967222
Mean18.176
Median Absolute Deviation (MAD)4.28
Skewness0.7107322713
Sum545.28
Variance42.19165931
MonotonicityNot monotonic
2024-05-04T15:24:43.462898image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
14.09 1
 
0.1%
15.91 1
 
0.1%
19.81 1
 
0.1%
37.15 1
 
0.1%
12.1 1
 
0.1%
13.32 1
 
0.1%
9.91 1
 
0.1%
11.94 1
 
0.1%
20.8 1
 
0.1%
13.25 1
 
0.1%
Other values (20) 20
 
2.0%
(Missing) 993
97.1%
ValueCountFrequency (%)
5.03 1
0.1%
9.91 1
0.1%
11.03 1
0.1%
11.94 1
0.1%
12.1 1
0.1%
ValueCountFrequency (%)
37.15 1
0.1%
27.94 1
0.1%
27.35 1
0.1%
26 1
0.1%
24.08 1
0.1%

fibs_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean3.374
Minimum0
Maximum8.55
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:43.634406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.804
Q12.0275
median2.905
Q34.645
95-th percentile6.5955
Maximum8.55
Range8.55
Interquartile range (IQR)2.6175

Descriptive statistics

Standard deviation1.999945861
Coefficient of variation (CV)0.5927521818
Kurtosis0.2385827741
Mean3.374
Median Absolute Deviation (MAD)1.34
Skewness0.6660928349
Sum101.22
Variance3.999783448
MonotonicityNot monotonic
2024-05-04T15:24:43.798712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1.33 2
 
0.2%
0.57 1
 
0.1%
2.08 1
 
0.1%
5.67 1
 
0.1%
2.02 1
 
0.1%
2.05 1
 
0.1%
3.78 1
 
0.1%
3.93 1
 
0.1%
1.09 1
 
0.1%
1.75 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 993
97.1%
ValueCountFrequency (%)
0 1
0.1%
0.57 1
0.1%
1.09 1
0.1%
1.33 2
0.2%
1.48 1
0.1%
ValueCountFrequency (%)
8.55 1
0.1%
7.23 1
0.1%
5.82 1
0.1%
5.72 1
0.1%
5.67 1
0.1%

fibi_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean8.192333333
Minimum0
Maximum16.42
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:44.461379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.593
Q16.0025
median7.47
Q310.775
95-th percentile14.5865
Maximum16.42
Range16.42
Interquartile range (IQR)4.7725

Descriptive statistics

Standard deviation3.710812425
Coefficient of variation (CV)0.4529616012
Kurtosis0.1271731751
Mean8.192333333
Median Absolute Deviation (MAD)2.3
Skewness0.195860747
Sum245.77
Variance13.77012885
MonotonicityNot monotonic
2024-05-04T15:24:44.669217image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
10.88 2
 
0.2%
14.57 1
 
0.1%
5.34 1
 
0.1%
12.22 1
 
0.1%
7.64 1
 
0.1%
7.53 1
 
0.1%
6.96 1
 
0.1%
5.99 1
 
0.1%
3.11 1
 
0.1%
6.24 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 993
97.1%
ValueCountFrequency (%)
0 1
0.1%
2.17 1
0.1%
3.11 1
0.1%
5 1
0.1%
5.34 1
0.1%
ValueCountFrequency (%)
16.42 1
0.1%
14.6 1
0.1%
14.57 1
0.1%
12.22 1
0.1%
11.9 1
0.1%

sac_r1
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean90.08266667
Minimum39.08
Maximum214.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:44.903785image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum39.08
5-th percentile44.6995
Q159.09
median81.96
Q3113.7075
95-th percentile155.063
Maximum214.14
Range175.06
Interquartile range (IQR)54.6175

Descriptive statistics

Standard deviation40.43193624
Coefficient of variation (CV)0.448831476
Kurtosis1.765961686
Mean90.08266667
Median Absolute Deviation (MAD)27.485
Skewness1.210770529
Sum2702.48
Variance1634.741469
MonotonicityNot monotonic
2024-05-04T15:24:45.136402image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
39.08 1
 
0.1%
97.65 1
 
0.1%
73.58 1
 
0.1%
66.59 1
 
0.1%
81.14 1
 
0.1%
121.8 1
 
0.1%
124.82 1
 
0.1%
54.93 1
 
0.1%
58.9 1
 
0.1%
59.66 1
 
0.1%
Other values (20) 20
 
2.0%
(Missing) 993
97.1%
ValueCountFrequency (%)
39.08 1
0.1%
44.38 1
0.1%
45.09 1
0.1%
52.24 1
0.1%
53.55 1
0.1%
ValueCountFrequency (%)
214.14 1
0.1%
173.72 1
0.1%
132.26 1
0.1%
132.08 1
0.1%
124.82 1
0.1%

gal_r1
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)20.0%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean3.767666667
Minimum0
Maximum108.91
Zeros25
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:45.369856image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.7855
Maximum108.91
Range108.91
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.86348212
Coefficient of variation (CV)5.272091158
Kurtosis29.96476321
Mean3.767666667
Median Absolute Deviation (MAD)0
Skewness5.472602075
Sum113.03
Variance394.557922
MonotonicityNot monotonic
2024-05-04T15:24:45.567056image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 25
 
2.4%
0.01 1
 
0.1%
0.58 1
 
0.1%
1.97 1
 
0.1%
1.56 1
 
0.1%
108.91 1
 
0.1%
(Missing) 993
97.1%
ValueCountFrequency (%)
0 25
2.4%
0.01 1
 
0.1%
0.58 1
 
0.1%
1.56 1
 
0.1%
1.97 1
 
0.1%
ValueCountFrequency (%)
108.91 1
0.1%
1.97 1
0.1%
1.56 1
0.1%
0.58 1
0.1%
0.01 1
0.1%

glu_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean5.229
Minimum0.08
Maximum21.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:45.749181image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.4545
Q11.12
median3.035
Q36.885
95-th percentile16.9095
Maximum21.63
Range21.55
Interquartile range (IQR)5.765

Descriptive statistics

Standard deviation5.653305014
Coefficient of variation (CV)1.081144581
Kurtosis2.053348324
Mean5.229
Median Absolute Deviation (MAD)2.295
Skewness1.593021431
Sum156.87
Variance31.95985759
MonotonicityNot monotonic
2024-05-04T15:24:45.986638image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.49 2
 
0.2%
3.55 1
 
0.1%
6.21 1
 
0.1%
1.11 1
 
0.1%
2.68 1
 
0.1%
1.53 1
 
0.1%
19.56 1
 
0.1%
4.12 1
 
0.1%
0.45 1
 
0.1%
1.15 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 993
97.1%
ValueCountFrequency (%)
0.08 1
0.1%
0.45 1
0.1%
0.46 1
0.1%
0.48 1
0.1%
0.49 2
0.2%
ValueCountFrequency (%)
21.63 1
0.1%
19.56 1
0.1%
13.67 1
0.1%
12.23 1
0.1%
11.9 1
0.1%

fruc_r1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)93.3%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean6.201666667
Minimum0
Maximum33.3
Zeros3
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:46.212713image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6675
median3.34
Q36.53
95-th percentile24.0455
Maximum33.3
Range33.3
Interquartile range (IQR)5.8625

Descriptive statistics

Standard deviation8.264819118
Coefficient of variation (CV)1.332677095
Kurtosis4.00563074
Mean6.201666667
Median Absolute Deviation (MAD)2.825
Skewness2.03928356
Sum186.05
Variance68.30723506
MonotonicityNot monotonic
2024-05-04T15:24:46.425836image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 3
 
0.3%
4.48 1
 
0.1%
2.88 1
 
0.1%
0.55 1
 
0.1%
1.45 1
 
0.1%
1.44 1
 
0.1%
19.53 1
 
0.1%
3.92 1
 
0.1%
0.17 1
 
0.1%
1.02 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 993
97.1%
ValueCountFrequency (%)
0 3
0.3%
0.03 1
 
0.1%
0.17 1
 
0.1%
0.24 1
 
0.1%
0.48 1
 
0.1%
ValueCountFrequency (%)
33.3 1
0.1%
27.74 1
0.1%
19.53 1
0.1%
13.65 1
0.1%
13.57 1
0.1%

lac_r1
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)76.7%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean11.44366667
Minimum0
Maximum42.87
Zeros6
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:46.625523image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.825
median11.27
Q316.5875
95-th percentile31.4405
Maximum42.87
Range42.87
Interquartile range (IQR)12.7625

Descriptive statistics

Standard deviation10.64960659
Coefficient of variation (CV)0.9306113943
Kurtosis1.516551604
Mean11.44366667
Median Absolute Deviation (MAD)7.04
Skewness1.168732857
Sum343.31
Variance113.4141206
MonotonicityNot monotonic
2024-05-04T15:24:46.819764image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 6
 
0.6%
11.37 3
 
0.3%
15.89 1
 
0.1%
34.1 1
 
0.1%
28.19 1
 
0.1%
4.2 1
 
0.1%
11.53 1
 
0.1%
16.82 1
 
0.1%
6.38 1
 
0.1%
15.35 1
 
0.1%
Other values (13) 13
 
1.3%
(Missing) 993
97.1%
ValueCountFrequency (%)
0 6
0.6%
0.51 1
 
0.1%
3.7 1
 
0.1%
4.2 1
 
0.1%
4.26 1
 
0.1%
ValueCountFrequency (%)
42.87 1
0.1%
34.1 1
0.1%
28.19 1
0.1%
22.54 1
0.1%
19.53 1
0.1%

mal_r1
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)40.0%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean0.2296666667
Minimum0
Maximum2.52
Zeros16
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:46.991102image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.37
95-th percentile0.8775
Maximum2.52
Range2.52
Interquartile range (IQR)0.37

Descriptive statistics

Standard deviation0.5007613743
Coefficient of variation (CV)2.180383343
Kurtosis15.53476629
Mean0.2296666667
Median Absolute Deviation (MAD)0
Skewness3.646726637
Sum6.89
Variance0.250761954
MonotonicityNot monotonic
2024-05-04T15:24:47.153717image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 16
 
1.6%
0.37 3
 
0.3%
0.07 2
 
0.2%
0.41 1
 
0.1%
0.4 1
 
0.1%
0.74 1
 
0.1%
0.08 1
 
0.1%
2.52 1
 
0.1%
0.47 1
 
0.1%
0.01 1
 
0.1%
Other values (2) 2
 
0.2%
(Missing) 993
97.1%
ValueCountFrequency (%)
0 16
1.6%
0.01 1
 
0.1%
0.02 1
 
0.1%
0.07 2
 
0.2%
0.08 1
 
0.1%
ValueCountFrequency (%)
2.52 1
0.1%
0.99 1
0.1%
0.74 1
0.1%
0.47 1
0.1%
0.41 1
0.1%

sat_r1
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing997
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean19.91615385
Minimum0
Maximum55.6
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:47.311428image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.34
Q112.805
median19.15
Q323.375
95-th percentile37.8725
Maximum55.6
Range55.6
Interquartile range (IQR)10.57

Descriptive statistics

Standard deviation11.13683836
Coefficient of variation (CV)0.5591861985
Kurtosis3.313139133
Mean19.91615385
Median Absolute Deviation (MAD)5.355
Skewness1.320434082
Sum517.82
Variance124.0291686
MonotonicityNot monotonic
2024-05-04T15:24:47.471037image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
11.8 1
 
0.1%
22.3 1
 
0.1%
14.6 1
 
0.1%
28.3 1
 
0.1%
23.05 1
 
0.1%
23.4 1
 
0.1%
14.92 1
 
0.1%
17.8 1
 
0.1%
7.16 1
 
0.1%
0 1
 
0.1%
Other values (16) 16
 
1.6%
(Missing) 997
97.5%
ValueCountFrequency (%)
0 1
0.1%
7.16 1
0.1%
7.88 1
0.1%
11.8 1
0.1%
11.92 1
0.1%
ValueCountFrequency (%)
55.6 1
0.1%
39.03 1
0.1%
34.4 1
0.1%
28.3 1
0.1%
25.76 1
0.1%

mono_r1
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)82.8%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean19.87137931
Minimum0
Maximum62.72
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:47.632238image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.95
median14.8
Q326.6
95-th percentile48.94
Maximum62.72
Range62.72
Interquartile range (IQR)17.65

Descriptive statistics

Standard deviation15.63039135
Coefficient of variation (CV)0.7865780782
Kurtosis1.011219475
Mean19.87137931
Median Absolute Deviation (MAD)8.74
Skewness1.037028167
Sum576.27
Variance244.3091337
MonotonicityNot monotonic
2024-05-04T15:24:47.793777image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 4
 
0.4%
43 2
 
0.2%
14.8 2
 
0.2%
28.3 1
 
0.1%
24.2 1
 
0.1%
17.8 1
 
0.1%
26.6 1
 
0.1%
10.91 1
 
0.1%
14.04 1
 
0.1%
8.52 1
 
0.1%
Other values (14) 14
 
1.4%
(Missing) 994
97.2%
ValueCountFrequency (%)
0 4
0.4%
8.05 1
 
0.1%
8.52 1
 
0.1%
8.61 1
 
0.1%
8.95 1
 
0.1%
ValueCountFrequency (%)
62.72 1
0.1%
52.9 1
0.1%
43 2
0.2%
31.96 1
0.1%
28.52 1
0.1%

poly_r1
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)96.2%
Missing997
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean12.14192308
Minimum0
Maximum44.9
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:47.969518image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2275
Q15.135
median9.09
Q317.225
95-th percentile25.7375
Maximum44.9
Range44.9
Interquartile range (IQR)12.09

Descriptive statistics

Standard deviation9.945607681
Coefficient of variation (CV)0.8191130531
Kurtosis3.383272742
Mean12.14192308
Median Absolute Deviation (MAD)4.67
Skewness1.651000386
Sum315.69
Variance98.91511215
MonotonicityNot monotonic
2024-05-04T15:24:48.135385image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4.98 2
 
0.2%
9.08 1
 
0.1%
15.8 1
 
0.1%
17.7 1
 
0.1%
4.63 1
 
0.1%
18.5 1
 
0.1%
9.7 1
 
0.1%
4.21 1
 
0.1%
9.1 1
 
0.1%
6.15 1
 
0.1%
Other values (15) 15
 
1.5%
(Missing) 997
97.5%
ValueCountFrequency (%)
0 1
0.1%
3.17 1
0.1%
3.4 1
0.1%
4.21 1
0.1%
4.63 1
0.1%
ValueCountFrequency (%)
44.9 1
0.1%
25.75 1
0.1%
25.7 1
0.1%
24.5 1
0.1%
21.15 1
0.1%

chol_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean265.0289655
Minimum0
Maximum554.14
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:48.295573image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile86.976
Q1148.02
median252.72
Q3377.21
95-th percentile511.258
Maximum554.14
Range554.14
Interquartile range (IQR)229.19

Descriptive statistics

Standard deviation149.8944682
Coefficient of variation (CV)0.5655776828
Kurtosis-0.8052193493
Mean265.0289655
Median Absolute Deviation (MAD)111.69
Skewness0.4032529275
Sum7685.84
Variance22468.3516
MonotonicityNot monotonic
2024-05-04T15:24:48.463736image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
290.1 1
 
0.1%
429.69 1
 
0.1%
395.91 1
 
0.1%
377.21 1
 
0.1%
255.65 1
 
0.1%
554.14 1
 
0.1%
203.26 1
 
0.1%
187.01 1
 
0.1%
214.19 1
 
0.1%
321.8 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
0 1
0.1%
85.54 1
0.1%
89.13 1
0.1%
90.04 1
0.1%
122.36 1
0.1%
ValueCountFrequency (%)
554.14 1
0.1%
515.79 1
0.1%
504.46 1
0.1%
501.34 1
0.1%
449.45 1
0.1%

fib_r2
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)100.0%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean21.77233333
Minimum2.15
Maximum61.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:48.636229image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.15
5-th percentile9.1355
Q113.17
median20.4
Q327.44
95-th percentile42.0225
Maximum61.28
Range59.13
Interquartile range (IQR)14.27

Descriptive statistics

Standard deviation11.0052284
Coefficient of variation (CV)0.5054684874
Kurtosis1.766779768
Mean21.77233333
Median Absolute Deviation (MAD)7.26
Skewness1.080822742
Sum1306.34
Variance121.1150521
MonotonicityNot monotonic
2024-05-04T15:24:48.846961image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.44 1
 
0.1%
9.21 1
 
0.1%
27.03 1
 
0.1%
12.6 1
 
0.1%
21.1 1
 
0.1%
16.98 1
 
0.1%
13.41 1
 
0.1%
13.59 1
 
0.1%
61.28 1
 
0.1%
15.34 1
 
0.1%
Other values (50) 50
 
4.9%
(Missing) 963
94.1%
ValueCountFrequency (%)
2.15 1
0.1%
6.56 1
0.1%
7.72 1
0.1%
9.21 1
0.1%
9.82 1
0.1%
ValueCountFrequency (%)
61.28 1
0.1%
44.97 1
0.1%
44.92 1
0.1%
41.87 1
0.1%
41.11 1
0.1%

fibs_r2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)96.7%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean4.392
Minimum0.25
Maximum13.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:49.055031image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.25
5-th percentile1.364
Q12.2475
median3.715
Q35.6425
95-th percentile9.4995
Maximum13.43
Range13.18
Interquartile range (IQR)3.395

Descriptive statistics

Standard deviation2.866528521
Coefficient of variation (CV)0.6526704283
Kurtosis1.558485706
Mean4.392
Median Absolute Deviation (MAD)1.55
Skewness1.197725754
Sum263.52
Variance8.216985763
MonotonicityNot monotonic
2024-05-04T15:24:49.275522image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.82 2
 
0.2%
1.37 2
 
0.2%
13.43 1
 
0.1%
0.32 1
 
0.1%
9.01 1
 
0.1%
1.72 1
 
0.1%
5.02 1
 
0.1%
3.09 1
 
0.1%
1.48 1
 
0.1%
5.55 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 963
94.1%
ValueCountFrequency (%)
0.25 1
0.1%
0.32 1
0.1%
1.25 1
0.1%
1.37 2
0.2%
1.48 1
0.1%
ValueCountFrequency (%)
13.43 1
0.1%
13.26 1
0.1%
9.87 1
0.1%
9.48 1
0.1%
9.01 1
0.1%

fibi_r2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)96.7%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean9.870166667
Minimum1.31
Maximum22.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:49.474478image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.31
5-th percentile3.5
Q16.4325
median8.745
Q314.1875
95-th percentile19.2505
Maximum22.15
Range20.84
Interquartile range (IQR)7.755

Descriptive statistics

Standard deviation5.17416414
Coefficient of variation (CV)0.5242225704
Kurtosis-0.4699225387
Mean9.870166667
Median Absolute Deviation (MAD)3.535
Skewness0.5392700694
Sum592.21
Variance26.77197455
MonotonicityNot monotonic
2024-05-04T15:24:49.663792image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.44 2
 
0.2%
6.74 2
 
0.2%
12.06 1
 
0.1%
15.58 1
 
0.1%
4.33 1
 
0.1%
6.91 1
 
0.1%
9.53 1
 
0.1%
2.17 1
 
0.1%
9.54 1
 
0.1%
5.24 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 963
94.1%
ValueCountFrequency (%)
1.31 1
0.1%
1.78 1
0.1%
2.17 1
0.1%
3.57 1
0.1%
3.63 1
0.1%
ValueCountFrequency (%)
22.15 1
0.1%
21.17 1
0.1%
19.83 1
0.1%
19.22 1
0.1%
18.72 1
0.1%

sac_r2
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)100.0%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean114.4446667
Minimum14.84
Maximum295.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:49.835562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum14.84
5-th percentile46.9265
Q167.315
median102.26
Q3144.1825
95-th percentile222.019
Maximum295.84
Range281
Interquartile range (IQR)76.8675

Descriptive statistics

Standard deviation61.30051415
Coefficient of variation (CV)0.5356345205
Kurtosis0.208691453
Mean114.4446667
Median Absolute Deviation (MAD)37.935
Skewness0.8786056535
Sum6866.68
Variance3757.753035
MonotonicityNot monotonic
2024-05-04T15:24:50.028759image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67.65 1
 
0.1%
71.28 1
 
0.1%
142.18 1
 
0.1%
47.33 1
 
0.1%
220.93 1
 
0.1%
59.43 1
 
0.1%
114.39 1
 
0.1%
56.23 1
 
0.1%
66.31 1
 
0.1%
150.19 1
 
0.1%
Other values (50) 50
 
4.9%
(Missing) 963
94.1%
ValueCountFrequency (%)
14.84 1
0.1%
27.5 1
0.1%
39.26 1
0.1%
47.33 1
0.1%
53.79 1
0.1%
ValueCountFrequency (%)
295.84 1
0.1%
245.46 1
0.1%
225.23 1
0.1%
221.85 1
0.1%
220.93 1
0.1%

gal_r2
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)18.3%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean3.616666667
Minimum0
Maximum205.44
Zeros50
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:50.193063image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.8155
Maximum205.44
Range205.44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation26.50487436
Coefficient of variation (CV)7.32853669
Kurtosis59.92402273
Mean3.616666667
Median Absolute Deviation (MAD)0
Skewness7.738785577
Sum217
Variance702.508365
MonotonicityNot monotonic
2024-05-04T15:24:50.333045image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 50
 
4.9%
0.06 1
 
0.1%
0.01 1
 
0.1%
0.03 1
 
0.1%
1.75 1
 
0.1%
1.56 1
 
0.1%
205.44 1
 
0.1%
1.59 1
 
0.1%
0.39 1
 
0.1%
3.11 1
 
0.1%
(Missing) 963
94.1%
ValueCountFrequency (%)
0 50
4.9%
0.01 1
 
0.1%
0.03 1
 
0.1%
0.06 1
 
0.1%
0.39 1
 
0.1%
ValueCountFrequency (%)
205.44 1
0.1%
3.11 1
0.1%
3.06 1
0.1%
1.75 1
0.1%
1.59 1
0.1%

glu_r2
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)90.0%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean6.818
Minimum0
Maximum63.23
Zeros5
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:50.500948image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.59
median4.315
Q38.5125
95-th percentile18.5935
Maximum63.23
Range63.23
Interquartile range (IQR)6.9225

Descriptive statistics

Standard deviation9.406542404
Coefficient of variation (CV)1.37966301
Kurtosis21.85437961
Mean6.818
Median Absolute Deviation (MAD)3.03
Skewness4.037320182
Sum409.08
Variance88.48304
MonotonicityNot monotonic
2024-05-04T15:24:50.693878image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
0.5%
4.04 2
 
0.2%
1.59 2
 
0.2%
4.58 1
 
0.1%
2.23 1
 
0.1%
4.31 1
 
0.1%
11.72 1
 
0.1%
1.42 1
 
0.1%
3 1
 
0.1%
2.63 1
 
0.1%
Other values (44) 44
 
4.3%
(Missing) 963
94.1%
ValueCountFrequency (%)
0 5
0.5%
0.04 1
 
0.1%
0.45 1
 
0.1%
0.58 1
 
0.1%
0.76 1
 
0.1%
ValueCountFrequency (%)
63.23 1
0.1%
28.19 1
0.1%
18.85 1
0.1%
18.58 1
0.1%
17.85 1
0.1%

fruc_r2
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)86.7%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean7.086
Minimum0
Maximum68.41
Zeros6
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:50.884280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.1025
median4.06
Q38.915
95-th percentile21.3385
Maximum68.41
Range68.41
Interquartile range (IQR)7.8125

Descriptive statistics

Standard deviation10.58638207
Coefficient of variation (CV)1.493985616
Kurtosis19.3072796
Mean7.086
Median Absolute Deviation (MAD)3.53
Skewness3.839006145
Sum425.16
Variance112.0714854
MonotonicityNot monotonic
2024-05-04T15:24:51.098737image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
0.6%
0.04 3
 
0.3%
3.84 2
 
0.2%
0.56 1
 
0.1%
4.04 1
 
0.1%
10.72 1
 
0.1%
0.31 1
 
0.1%
3.81 1
 
0.1%
1.63 1
 
0.1%
20.83 1
 
0.1%
Other values (42) 42
 
4.1%
(Missing) 963
94.1%
ValueCountFrequency (%)
0 6
0.6%
0.04 3
0.3%
0.17 1
 
0.1%
0.31 1
 
0.1%
0.5 1
 
0.1%
ValueCountFrequency (%)
68.41 1
0.1%
36.15 1
0.1%
21.5 1
0.1%
21.33 1
0.1%
20.83 1
0.1%

lac_r2
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)60.0%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean14.29
Minimum0
Maximum49.64
Zeros13
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:51.292669image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.4475
median11.835
Q322.74
95-th percentile34.13
Maximum49.64
Range49.64
Interquartile range (IQR)21.2925

Descriptive statistics

Standard deviation12.20826353
Coefficient of variation (CV)0.8543221501
Kurtosis0.3559628907
Mean14.29
Median Absolute Deviation (MAD)10.905
Skewness0.7317930489
Sum857.4
Variance149.0416983
MonotonicityNot monotonic
2024-05-04T15:24:51.476391image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 13
 
1.3%
11.37 7
 
0.7%
22.74 4
 
0.4%
11.88 2
 
0.2%
28.36 2
 
0.2%
24.03 2
 
0.2%
30.76 1
 
0.1%
19.05 1
 
0.1%
2.5 1
 
0.1%
4.24 1
 
0.1%
Other values (26) 26
 
2.5%
(Missing) 963
94.1%
ValueCountFrequency (%)
0 13
1.3%
0.68 1
 
0.1%
0.99 1
 
0.1%
1.6 1
 
0.1%
2.5 1
 
0.1%
ValueCountFrequency (%)
49.64 1
0.1%
47.42 1
0.1%
34.51 1
0.1%
34.11 1
0.1%
33.64 1
0.1%

mal_r2
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)36.7%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean0.3296666667
Minimum0
Maximum3.05
Zeros34
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:51.627995image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.37
95-th percentile1.496
Maximum3.05
Range3.05
Interquartile range (IQR)0.37

Descriptive statistics

Standard deviation0.6519591509
Coefficient of variation (CV)1.977631398
Kurtosis8.13706264
Mean0.3296666667
Median Absolute Deviation (MAD)0
Skewness2.744480375
Sum19.78
Variance0.4250507345
MonotonicityNot monotonic
2024-05-04T15:24:51.791983image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 34
 
3.3%
0.09 3
 
0.3%
0.37 3
 
0.3%
0.74 2
 
0.2%
1.42 1
 
0.1%
0.32 1
 
0.1%
0.95 1
 
0.1%
0.05 1
 
0.1%
0.17 1
 
0.1%
0.94 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 963
94.1%
ValueCountFrequency (%)
0 34
3.3%
0.02 1
 
0.1%
0.05 1
 
0.1%
0.08 1
 
0.1%
0.09 3
 
0.3%
ValueCountFrequency (%)
3.05 1
0.1%
2.92 1
0.1%
1.8 1
0.1%
1.48 1
0.1%
1.42 1
0.1%

sat_r2
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)100.0%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean23.61372881
Minimum6.2
Maximum64.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:51.986814image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6.2
5-th percentile10.456
Q115.33
median21.22
Q328.9
95-th percentile46.642
Maximum64.01
Range57.81
Interquartile range (IQR)13.57

Descriptive statistics

Standard deviation11.62680374
Coefficient of variation (CV)0.4923747465
Kurtosis1.521970525
Mean23.61372881
Median Absolute Deviation (MAD)6.96
Skewness1.188003335
Sum1393.21
Variance135.1825652
MonotonicityNot monotonic
2024-05-04T15:24:52.171162image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.49 1
 
0.1%
30.22 1
 
0.1%
10.55 1
 
0.1%
64.01 1
 
0.1%
6.2 1
 
0.1%
18.43 1
 
0.1%
16.49 1
 
0.1%
13.37 1
 
0.1%
15.87 1
 
0.1%
22.33 1
 
0.1%
Other values (49) 49
 
4.8%
(Missing) 964
94.2%
ValueCountFrequency (%)
6.2 1
0.1%
9.19 1
0.1%
9.61 1
0.1%
10.55 1
0.1%
10.58 1
0.1%
ValueCountFrequency (%)
64.01 1
0.1%
47.7 1
0.1%
47.02 1
0.1%
46.6 1
0.1%
42.53 1
0.1%

mono_r2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)98.3%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean22.90711864
Minimum6.52
Maximum47.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:52.357392image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6.52
5-th percentile8.799
Q115.93
median22.12
Q329.475
95-th percentile39.724
Maximum47.06
Range40.54
Interquartile range (IQR)13.545

Descriptive statistics

Standard deviation9.899369024
Coefficient of variation (CV)0.432152519
Kurtosis-0.4407531165
Mean22.90711864
Median Absolute Deviation (MAD)6.89
Skewness0.4595815025
Sum1351.52
Variance97.99750707
MonotonicityNot monotonic
2024-05-04T15:24:52.554072image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.8 2
 
0.2%
35.8 1
 
0.1%
9.6 1
 
0.1%
39.66 1
 
0.1%
6.52 1
 
0.1%
16.54 1
 
0.1%
15.32 1
 
0.1%
24.09 1
 
0.1%
11.97 1
 
0.1%
21.33 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 964
94.2%
ValueCountFrequency (%)
6.52 1
0.1%
6.89 1
0.1%
8.52 1
0.1%
8.83 1
0.1%
9.36 1
0.1%
ValueCountFrequency (%)
47.06 1
0.1%
43.1 1
0.1%
40.3 1
0.1%
39.66 1
0.1%
39.3 1
0.1%

poly_r2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)96.6%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean12.62627119
Minimum1.84
Maximum41.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:52.761417image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.84
5-th percentile4.107
Q16.42
median9.94
Q316.625
95-th percentile34.847
Maximum41.01
Range39.17
Interquartile range (IQR)10.205

Descriptive statistics

Standard deviation8.970266574
Coefficient of variation (CV)0.710444631
Kurtosis2.573259763
Mean12.62627119
Median Absolute Deviation (MAD)4.17
Skewness1.619052218
Sum744.95
Variance80.46568241
MonotonicityNot monotonic
2024-05-04T15:24:52.965996image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.04 2
 
0.2%
4.84 2
 
0.2%
2.04 1
 
0.1%
16.45 1
 
0.1%
12.46 1
 
0.1%
4.35 1
 
0.1%
19.4 1
 
0.1%
10.1 1
 
0.1%
5.77 1
 
0.1%
21.5 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 964
94.2%
ValueCountFrequency (%)
1.84 1
0.1%
2.04 1
0.1%
3.81 1
0.1%
4.14 1
0.1%
4.35 1
0.1%
ValueCountFrequency (%)
41.01 1
0.1%
39.9 1
0.1%
37.16 1
0.1%
34.59 1
0.1%
24.04 2
0.2%

chol_r2
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)100.0%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean270.8127119
Minimum58.2
Maximum673.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:53.229375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum58.2
5-th percentile83.386
Q1169.18
median235.34
Q3359.2
95-th percentile522.26
Maximum673.57
Range615.37
Interquartile range (IQR)190.02

Descriptive statistics

Standard deviation142.5029163
Coefficient of variation (CV)0.5262046796
Kurtosis-0.1521096844
Mean270.8127119
Median Absolute Deviation (MAD)83.8
Skewness0.6944492445
Sum15977.95
Variance20307.08115
MonotonicityNot monotonic
2024-05-04T15:24:53.451268image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
152.97 1
 
0.1%
417.34 1
 
0.1%
58.2 1
 
0.1%
432.37 1
 
0.1%
520.85 1
 
0.1%
554.53 1
 
0.1%
85.54 1
 
0.1%
58.23 1
 
0.1%
113.97 1
 
0.1%
213.64 1
 
0.1%
Other values (49) 49
 
4.8%
(Missing) 964
94.2%
ValueCountFrequency (%)
58.2 1
0.1%
58.23 1
0.1%
80.2 1
0.1%
83.74 1
0.1%
85.54 1
0.1%
ValueCountFrequency (%)
673.57 1
0.1%
554.53 1
0.1%
534.95 1
0.1%
520.85 1
0.1%
474.12 1
0.1%

fib_fca
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)98.5%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean36.70346154
Minimum10.22
Maximum102.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:53.652253image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum10.22
5-th percentile15.38
Q124.73
median31.47
Q342.85
95-th percentile81.644
Maximum102.8
Range92.58
Interquartile range (IQR)18.12

Descriptive statistics

Standard deviation19.70954311
Coefficient of variation (CV)0.5369941223
Kurtosis2.664917962
Mean36.70346154
Median Absolute Deviation (MAD)10.33
Skewness1.601004473
Sum2385.725
Variance388.4660898
MonotonicityNot monotonic
2024-05-04T15:24:53.889082image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.2 2
 
0.2%
21.14 1
 
0.1%
33.77 1
 
0.1%
17.83 1
 
0.1%
30.02 1
 
0.1%
30.46 1
 
0.1%
57.62 1
 
0.1%
28.15 1
 
0.1%
28.29 1
 
0.1%
17.74 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 958
93.6%
ValueCountFrequency (%)
10.22 1
0.1%
13.92 1
0.1%
14.52 1
0.1%
14.79 1
0.1%
17.74 1
0.1%
ValueCountFrequency (%)
102.8 1
0.1%
95 1
0.1%
92.3 1
0.1%
84.72 1
0.1%
69.34 1
0.1%

fibs_fca
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)98.5%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean7.997523077
Minimum2.13
Maximum28.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:54.544325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.13
5-th percentile2.626
Q15.1
median6.9
Q310.23
95-th percentile16.588
Maximum28.06
Range25.93
Interquartile range (IQR)5.13

Descriptive statistics

Standard deviation4.867057508
Coefficient of variation (CV)0.6085706113
Kurtosis4.717541231
Mean7.997523077
Median Absolute Deviation (MAD)2.42
Skewness1.843387215
Sum519.839
Variance23.68824878
MonotonicityNot monotonic
2024-05-04T15:24:54.720879image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.56 2
 
0.2%
4.04 1
 
0.1%
6.15 1
 
0.1%
3.61 1
 
0.1%
7.46 1
 
0.1%
6.57 1
 
0.1%
9.82 1
 
0.1%
5.39 1
 
0.1%
5.47 1
 
0.1%
4.06 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 958
93.6%
ValueCountFrequency (%)
2.13 1
0.1%
2.45 1
0.1%
2.56 2
0.2%
2.89 1
0.1%
2.91 1
0.1%
ValueCountFrequency (%)
28.06 1
0.1%
23.97 1
0.1%
16.66 1
0.1%
16.61 1
0.1%
16.5 1
0.1%

fibi_fca
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)98.5%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean19.27461538
Minimum4.58
Maximum60.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:54.897103image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.58
5-th percentile6.36
Q112.09
median17.1
Q324.72
95-th percentile33.242
Maximum60.4
Range55.82
Interquartile range (IQR)12.63

Descriptive statistics

Standard deviation10.58197127
Coefficient of variation (CV)0.5490107613
Kurtosis4.46235492
Mean19.27461538
Median Absolute Deviation (MAD)6.33
Skewness1.657421708
Sum1252.85
Variance111.9781159
MonotonicityNot monotonic
2024-05-04T15:24:55.082794image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.58 2
 
0.2%
8.45 1
 
0.1%
18.97 1
 
0.1%
9.35 1
 
0.1%
14.77 1
 
0.1%
14.6 1
 
0.1%
14.97 1
 
0.1%
13.08 1
 
0.1%
15.21 1
 
0.1%
12.09 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 958
93.6%
ValueCountFrequency (%)
4.58 2
0.2%
6.19 1
0.1%
6.28 1
0.1%
6.68 1
0.1%
8.45 1
0.1%
ValueCountFrequency (%)
60.4 1
0.1%
57.41 1
0.1%
39.42 1
0.1%
33.27 1
0.1%
33.13 1
0.1%

sac_fca
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)96.9%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean124.9309077
Minimum12.4
Maximum331.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:55.258010image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum12.4
5-th percentile45.286
Q164.7
median105.71
Q3157.99
95-th percentile287.944
Maximum331.1
Range318.7
Interquartile range (IQR)93.29

Descriptive statistics

Standard deviation74.10839024
Coefficient of variation (CV)0.5931950036
Kurtosis0.6274819109
Mean124.9309077
Median Absolute Deviation (MAD)46.259
Skewness1.066625873
Sum8120.509
Variance5492.053504
MonotonicityNot monotonic
2024-05-04T15:24:55.442671image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.33 2
 
0.2%
64.7 2
 
0.2%
157.99 1
 
0.1%
91.81 1
 
0.1%
149.14 1
 
0.1%
99.14 1
 
0.1%
87.83 1
 
0.1%
45.01 1
 
0.1%
144.22 1
 
0.1%
263.84 1
 
0.1%
Other values (53) 53
 
5.2%
(Missing) 958
93.6%
ValueCountFrequency (%)
12.4 1
0.1%
38.04 1
0.1%
43.14 1
0.1%
45.01 1
0.1%
46.39 1
0.1%
ValueCountFrequency (%)
331.1 1
0.1%
318.99 1
0.1%
295.06 1
0.1%
293.97 1
0.1%
263.84 1
0.1%

gal_fca
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)32.3%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean0.5375230769
Minimum0
Maximum7.41
Zeros27
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:55.609617image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.07
Q30.41
95-th percentile2.834
Maximum7.41
Range7.41
Interquartile range (IQR)0.41

Descriptive statistics

Standard deviation1.196724058
Coefficient of variation (CV)2.226367778
Kurtosis16.98551699
Mean0.5375230769
Median Absolute Deviation (MAD)0.07
Skewness3.686821702
Sum34.939
Variance1.432148472
MonotonicityNot monotonic
2024-05-04T15:24:55.764530image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 27
 
2.6%
0.09 8
 
0.8%
0.41 5
 
0.5%
0.82 3
 
0.3%
0.01 3
 
0.3%
0.19 2
 
0.2%
2.88 2
 
0.2%
2.06 2
 
0.2%
3.4 1
 
0.1%
2.47 1
 
0.1%
Other values (11) 11
 
1.1%
(Missing) 958
93.6%
ValueCountFrequency (%)
0 27
2.6%
0.01 3
 
0.3%
0.02 1
 
0.1%
0.05 1
 
0.1%
0.07 1
 
0.1%
ValueCountFrequency (%)
7.41 1
0.1%
3.4 1
0.1%
2.88 2
0.2%
2.65 1
0.1%
2.47 1
0.1%

glu_fca
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)96.9%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean10.08504615
Minimum1.1
Maximum37.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:55.972474image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile2.094
Q14.13
median7.89
Q314.12
95-th percentile23.708
Maximum37.65
Range36.55
Interquartile range (IQR)9.99

Descriptive statistics

Standard deviation8.046249484
Coefficient of variation (CV)0.7978396292
Kurtosis2.537473685
Mean10.08504615
Median Absolute Deviation (MAD)3.91
Skewness1.517502137
Sum655.528
Variance64.74213076
MonotonicityNot monotonic
2024-05-04T15:24:56.202865image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 2
 
0.2%
3.98 2
 
0.2%
4.05 1
 
0.1%
3.6 1
 
0.1%
7.97 1
 
0.1%
5.25 1
 
0.1%
24.59 1
 
0.1%
20.61 1
 
0.1%
4.38 1
 
0.1%
21.12 1
 
0.1%
Other values (53) 53
 
5.2%
(Missing) 958
93.6%
ValueCountFrequency (%)
1.1 1
0.1%
1.2 1
0.1%
1.43 1
0.1%
1.99 1
0.1%
2.51 1
0.1%
ValueCountFrequency (%)
37.65 1
0.1%
37.64 1
0.1%
24.59 1
0.1%
24.26 1
0.1%
21.5 1
0.1%

fruc_fca
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)96.9%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean10.91315385
Minimum0.46
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:56.409060image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.46
5-th percentile1.592
Q15.12
median8.4
Q316.62
95-th percentile25.052
Maximum43
Range42.54
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation8.865123359
Coefficient of variation (CV)0.8123337656
Kurtosis2.563742208
Mean10.91315385
Median Absolute Deviation (MAD)4.325
Skewness1.523366219
Sum709.355
Variance78.59041216
MonotonicityNot monotonic
2024-05-04T15:24:56.616066image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.12 2
 
0.2%
7.51 2
 
0.2%
43 1
 
0.1%
23.61 1
 
0.1%
21.22 1
 
0.1%
3.96 1
 
0.1%
9.21 1
 
0.1%
5.98 1
 
0.1%
4.42 1
 
0.1%
24.62 1
 
0.1%
Other values (53) 53
 
5.2%
(Missing) 958
93.6%
ValueCountFrequency (%)
0.46 1
0.1%
1.27 1
0.1%
1.4 1
0.1%
1.47 1
0.1%
2.08 1
0.1%
ValueCountFrequency (%)
43 1
0.1%
39.38 1
0.1%
26.13 1
0.1%
25.16 1
0.1%
24.62 1
0.1%

lac_fca
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)92.3%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean14.85253846
Minimum0
Maximum67.42
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:56.807975image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.316
Q14.9
median11.44
Q322.37
95-th percentile41.132
Maximum67.42
Range67.42
Interquartile range (IQR)17.47

Descriptive statistics

Standard deviation14.41938463
Coefficient of variation (CV)0.9708363773
Kurtosis4.426328067
Mean14.85253846
Median Absolute Deviation (MAD)7.96
Skewness1.922599649
Sum965.415
Variance207.9186532
MonotonicityNot monotonic
2024-05-04T15:24:57.006949image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.44 3
 
0.3%
23.47 2
 
0.2%
11.21 2
 
0.2%
0 2
 
0.2%
17.02 1
 
0.1%
22.5 1
 
0.1%
11.72 1
 
0.1%
13.03 1
 
0.1%
11.52 1
 
0.1%
20.6 1
 
0.1%
Other values (50) 50
 
4.9%
(Missing) 958
93.6%
ValueCountFrequency (%)
0 2
0.2%
0.28 1
0.1%
0.3 1
0.1%
0.38 1
0.1%
0.43 1
0.1%
ValueCountFrequency (%)
67.42 1
0.1%
67.1 1
0.1%
53.34 1
0.1%
41.25 1
0.1%
40.66 1
0.1%

mal_fca
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)72.3%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean1.977353846
Minimum0
Maximum59.14
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:57.193766image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.014
Q10.1
median0.35
Q30.63
95-th percentile2.62
Maximum59.14
Range59.14
Interquartile range (IQR)0.53

Descriptive statistics

Standard deviation8.584017242
Coefficient of variation (CV)4.341163954
Kurtosis35.84222137
Mean1.977353846
Median Absolute Deviation (MAD)0.25
Skewness5.931158043
Sum128.528
Variance73.68535201
MonotonicityNot monotonic
2024-05-04T15:24:57.373352image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.1 3
 
0.3%
0.48 3
 
0.3%
0.04 3
 
0.3%
0.01 2
 
0.2%
0.5 2
 
0.2%
0.05 2
 
0.2%
0.28 2
 
0.2%
0.08 2
 
0.2%
0.03 2
 
0.2%
0.24 2
 
0.2%
Other values (37) 42
 
4.1%
(Missing) 958
93.6%
ValueCountFrequency (%)
0 2
0.2%
0.01 2
0.2%
0.03 2
0.2%
0.04 3
0.3%
0.05 2
0.2%
ValueCountFrequency (%)
59.14 1
0.1%
37.86 1
0.1%
3 1
0.1%
2.74 1
0.1%
2.14 1
0.1%

sat_fca
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)96.9%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean26.26247692
Minimum6.53
Maximum112.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:57.553446image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6.53
5-th percentile9.778
Q114.6
median22.59
Q331.31
95-th percentile54.672
Maximum112.8
Range106.27
Interquartile range (IQR)16.71

Descriptive statistics

Standard deviation16.70855646
Coefficient of variation (CV)0.636214037
Kurtosis10.40161573
Mean26.26247692
Median Absolute Deviation (MAD)8.49
Skewness2.523561503
Sum1707.061
Variance279.1758591
MonotonicityNot monotonic
2024-05-04T15:24:57.748153image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.1 2
 
0.2%
14.6 2
 
0.2%
17.22 1
 
0.1%
37.95 1
 
0.1%
14.5 1
 
0.1%
17.26 1
 
0.1%
19.86 1
 
0.1%
22.88 1
 
0.1%
34.89 1
 
0.1%
15 1
 
0.1%
Other values (53) 53
 
5.2%
(Missing) 958
93.6%
ValueCountFrequency (%)
6.53 1
0.1%
7.1 1
0.1%
9.02 1
0.1%
9.61 1
0.1%
10.45 1
0.1%
ValueCountFrequency (%)
112.8 1
0.1%
62.65 1
0.1%
59.8 1
0.1%
56.37 1
0.1%
47.88 1
0.1%

mono_fca
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)98.5%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean26.56301538
Minimum10.91
Maximum79.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:57.971251image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum10.91
5-th percentile11.366
Q117.16
median23.69
Q331.2
95-th percentile47.52
Maximum79.47
Range68.56
Interquartile range (IQR)14.04

Descriptive statistics

Standard deviation13.77476789
Coefficient of variation (CV)0.5185694353
Kurtosis4.79277988
Mean26.56301538
Median Absolute Deviation (MAD)7.13
Skewness1.842094578
Sum1726.596
Variance189.7442304
MonotonicityNot monotonic
2024-05-04T15:24:58.175696image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.68 2
 
0.2%
12.78 1
 
0.1%
41.82 1
 
0.1%
18.14 1
 
0.1%
15.86 1
 
0.1%
23.86 1
 
0.1%
43.7 1
 
0.1%
20.56 1
 
0.1%
31.2 1
 
0.1%
12.51 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 958
93.6%
ValueCountFrequency (%)
10.91 1
0.1%
11 1
0.1%
11.05 1
0.1%
11.15 1
0.1%
12.23 1
0.1%
ValueCountFrequency (%)
79.47 1
0.1%
77.7 1
0.1%
56.29 1
0.1%
48.1 1
0.1%
45.2 1
0.1%

poly_fca
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)98.5%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean14.39301538
Minimum5.37
Maximum40.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:58.409482image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.37
5-th percentile5.8
Q19.2
median11.89
Q317.57
95-th percentile28.618
Maximum40.16
Range34.79
Interquartile range (IQR)8.37

Descriptive statistics

Standard deviation7.707987157
Coefficient of variation (CV)0.5355366441
Kurtosis1.990865035
Mean14.39301538
Median Absolute Deviation (MAD)4.3
Skewness1.39699913
Sum935.546
Variance59.41306602
MonotonicityNot monotonic
2024-05-04T15:24:58.607848image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.37 2
 
0.2%
6.03 1
 
0.1%
17.57 1
 
0.1%
10.61 1
 
0.1%
7.87 1
 
0.1%
10.88 1
 
0.1%
27.01 1
 
0.1%
11.02 1
 
0.1%
16.91 1
 
0.1%
6.39 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 958
93.6%
ValueCountFrequency (%)
5.37 2
0.2%
5.48 1
0.1%
5.79 1
0.1%
5.84 1
0.1%
6.03 1
0.1%
ValueCountFrequency (%)
40.16 1
0.1%
38.37 1
0.1%
30.9 1
0.1%
28.73 1
0.1%
28.17 1
0.1%

chol_fca
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean336.7924531
Minimum80.49
Maximum808.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:58.799599image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum80.49
5-th percentile117.4395
Q1191.7375
median309.95
Q3452.775
95-th percentile633.596
Maximum808.3
Range727.81
Interquartile range (IQR)261.0375

Descriptive statistics

Standard deviation169.5093402
Coefficient of variation (CV)0.5033050433
Kurtosis-0.2308568945
Mean336.7924531
Median Absolute Deviation (MAD)122.735
Skewness0.6442877817
Sum21554.717
Variance28733.41641
MonotonicityNot monotonic
2024-05-04T15:24:58.991363image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
175.7 2
 
0.2%
152.39 1
 
0.1%
358.45 1
 
0.1%
264.17 1
 
0.1%
192.88 1
 
0.1%
290.93 1
 
0.1%
289.88 1
 
0.1%
226.55 1
 
0.1%
637.16 1
 
0.1%
139.2 1
 
0.1%
Other values (53) 53
 
5.2%
(Missing) 959
93.7%
ValueCountFrequency (%)
80.49 1
0.1%
113.8 1
0.1%
115.59 1
0.1%
117.27 1
0.1%
118.4 1
0.1%
ValueCountFrequency (%)
808.3 1
0.1%
686.18 1
0.1%
665.19 1
0.1%
637.16 1
0.1%
613.4 1
0.1%

homab_1a
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean125.82
Minimum75.6
Maximum271.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:59.160566image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum75.6
5-th percentile80.08
Q195.4
median125.8
Q3139
95-th percentile176.76
Maximum271.1
Range195.5
Interquartile range (IQR)43.6

Descriptive statistics

Standard deviation43.74366621
Coefficient of variation (CV)0.3476686235
Kurtosis3.730134255
Mean125.82
Median Absolute Deviation (MAD)30.4
Skewness1.584458436
Sum3145.5
Variance1913.508333
MonotonicityNot monotonic
2024-05-04T15:24:59.323425image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
88 1
 
0.1%
78.8 1
 
0.1%
102.2 1
 
0.1%
103.1 1
 
0.1%
98.1 1
 
0.1%
95.6 1
 
0.1%
86.3 1
 
0.1%
178.2 1
 
0.1%
87.5 1
 
0.1%
125.8 1
 
0.1%
Other values (15) 15
 
1.5%
(Missing) 998
97.6%
ValueCountFrequency (%)
75.6 1
0.1%
78.8 1
0.1%
85.2 1
0.1%
86.3 1
0.1%
87.5 1
0.1%
ValueCountFrequency (%)
271.1 1
0.1%
178.2 1
0.1%
171 1
0.1%
169 1
0.1%
165.5 1
0.1%

homas_1a
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean81.512
Minimum24.9
Maximum151.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:59.484087image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum24.9
5-th percentile33.14
Q161.4
median82.5
Q397.4
95-th percentile126.1
Maximum151.1
Range126.2
Interquartile range (IQR)36

Descriptive statistics

Standard deviation32.61172233
Coefficient of variation (CV)0.4000849241
Kurtosis-0.5295860816
Mean81.512
Median Absolute Deviation (MAD)21.1
Skewness0.1922754943
Sum2037.8
Variance1063.524433
MonotonicityNot monotonic
2024-05-04T15:24:59.646053image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
120.7 1
 
0.1%
119 1
 
0.1%
78.8 1
 
0.1%
115.5 1
 
0.1%
92.6 1
 
0.1%
124.1 1
 
0.1%
97.4 1
 
0.1%
35.7 1
 
0.1%
92.4 1
 
0.1%
66.9 1
 
0.1%
Other values (15) 15
 
1.5%
(Missing) 998
97.6%
ValueCountFrequency (%)
24.9 1
0.1%
32.5 1
0.1%
35.7 1
0.1%
42.2 1
0.1%
51.4 1
0.1%
ValueCountFrequency (%)
151.1 1
0.1%
126.6 1
0.1%
124.1 1
0.1%
120.7 1
0.1%
119 1
0.1%

homair_1a
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean1.49803524
Minimum0.661813
Maximum4.01606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:24:59.798302image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.661813
5-th percentile0.7930716
Q11.02669
median1.21212
Q31.62866
95-th percentile3.02176
Maximum4.01606
Range3.354247
Interquartile range (IQR)0.60197

Descriptive statistics

Standard deviation0.8071541638
Coefficient of variation (CV)0.5388085289
Kurtosis3.093597084
Mean1.49803524
Median Absolute Deviation (MAD)0.371784
Skewness1.750334423
Sum37.450881
Variance0.6514978442
MonotonicityNot monotonic
2024-05-04T15:24:59.961944image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.8285 1
 
0.1%
0.840336 1
 
0.1%
1.26904 1
 
0.1%
0.865801 1
 
0.1%
1.07991 1
 
0.1%
0.805802 1
 
0.1%
1.02669 1
 
0.1%
2.80112 1
 
0.1%
1.08225 1
 
0.1%
1.49477 1
 
0.1%
Other values (15) 15
 
1.5%
(Missing) 998
97.6%
ValueCountFrequency (%)
0.661813 1
0.1%
0.789889 1
0.1%
0.805802 1
0.1%
0.8285 1
0.1%
0.840336 1
0.1%
ValueCountFrequency (%)
4.01606 1
0.1%
3.07692 1
0.1%
2.80112 1
0.1%
2.36967 1
0.1%
1.94553 1
0.1%

get2
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean1251.951818
Minimum1014.66
Maximum1579.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:00.118028image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1014.66
5-th percentile1042.854
Q11160
median1247.355
Q31380.9275
95-th percentile1470.991
Maximum1579.84
Range565.18
Interquartile range (IQR)220.9275

Descriptive statistics

Standard deviation153.4641697
Coefficient of variation (CV)0.1225799328
Kurtosis-0.6384237024
Mean1251.951818
Median Absolute Deviation (MAD)115.61
Skewness0.3707186276
Sum27542.94
Variance23551.2514
MonotonicityNot monotonic
2024-05-04T15:25:00.267021image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1316.43 1
 
0.1%
1014.66 1
 
0.1%
1336.94 1
 
0.1%
1259.15 1
 
0.1%
1166.36 1
 
0.1%
1072.19 1
 
0.1%
1084.4 1
 
0.1%
1471.73 1
 
0.1%
1105.72 1
 
0.1%
1269.99 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
1014.66 1
0.1%
1041.31 1
0.1%
1072.19 1
0.1%
1084.4 1
0.1%
1105.72 1
0.1%
ValueCountFrequency (%)
1579.84 1
0.1%
1471.73 1
0.1%
1456.95 1
0.1%
1405.65 1
0.1%
1398.07 1
0.1%

ger_h1
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean1474.584138
Minimum1238.22
Maximum1751.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:00.439961image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1238.22
5-th percentile1260.875
Q11365.885
median1456.92
Q31573.6175
95-th percentile1714.625
Maximum1751.2
Range512.98
Interquartile range (IQR)207.7325

Descriptive statistics

Standard deviation135.8284734
Coefficient of variation (CV)0.092113071
Kurtosis-0.7925316194
Mean1474.584138
Median Absolute Deviation (MAD)100.55
Skewness0.2663606146
Sum85525.88
Variance18449.37418
MonotonicityNot monotonic
2024-05-04T15:25:00.618394image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1334.99 1
 
0.1%
1359.43 1
 
0.1%
1247.17 1
 
0.1%
1751.2 1
 
0.1%
1306.75 1
 
0.1%
1460.8 1
 
0.1%
1272.95 1
 
0.1%
1727.84 1
 
0.1%
1534.69 1
 
0.1%
1726.61 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
1238.22 1
0.1%
1247.17 1
0.1%
1256.88 1
0.1%
1261.58 1
0.1%
1272.95 1
0.1%
ValueCountFrequency (%)
1751.2 1
0.1%
1727.84 1
0.1%
1726.61 1
0.1%
1712.51 1
0.1%
1708.28 1
0.1%

get_h1
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean1622.042586
Minimum1362.04
Maximum1926.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:00.791869image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1362.04
5-th percentile1386.963
Q11502.475
median1602.61
Q31730.98
95-th percentile1886.0865
Maximum1926.32
Range564.28
Interquartile range (IQR)228.505

Descriptive statistics

Standard deviation149.411688
Coefficient of variation (CV)0.09211329546
Kurtosis-0.7925353016
Mean1622.042586
Median Absolute Deviation (MAD)110.6
Skewness0.2663489866
Sum94078.47
Variance22323.85251
MonotonicityNot monotonic
2024-05-04T15:25:00.971784image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1468.49 1
 
0.1%
1495.37 1
 
0.1%
1371.89 1
 
0.1%
1926.32 1
 
0.1%
1437.42 1
 
0.1%
1606.88 1
 
0.1%
1400.24 1
 
0.1%
1900.62 1
 
0.1%
1688.16 1
 
0.1%
1899.27 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
1362.04 1
0.1%
1371.89 1
0.1%
1382.56 1
0.1%
1387.74 1
0.1%
1400.24 1
0.1%
ValueCountFrequency (%)
1926.32 1
0.1%
1900.62 1
0.1%
1899.27 1
0.1%
1883.76 1
0.1%
1879.11 1
0.1%

ger_h2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean1534.087018
Minimum1259.92
Maximum1880.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:01.162345image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1259.92
5-th percentile1354.318
Q11425.58
median1509.86
Q31627.31
95-th percentile1758.812
Maximum1880.06
Range620.14
Interquartile range (IQR)201.73

Descriptive statistics

Standard deviation136.9061858
Coefficient of variation (CV)0.08924277712
Kurtosis-0.3678338035
Mean1534.087018
Median Absolute Deviation (MAD)100.17
Skewness0.3044906117
Sum87442.96
Variance18743.30371
MonotonicityNot monotonic
2024-05-04T15:25:01.351297image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1379.08 1
 
0.1%
1469.36 1
 
0.1%
1409.69 1
 
0.1%
1821.01 1
 
0.1%
1359.81 1
 
0.1%
1600.43 1
 
0.1%
1440.5 1
 
0.1%
1737.61 1
 
0.1%
1548.66 1
 
0.1%
1390.84 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 966
94.4%
ValueCountFrequency (%)
1259.92 1
0.1%
1284.8 1
0.1%
1332.79 1
0.1%
1359.7 1
0.1%
1359.81 1
0.1%
ValueCountFrequency (%)
1880.06 1
0.1%
1821.01 1
0.1%
1761.34 1
0.1%
1758.18 1
0.1%
1737.61 1
0.1%

get_h2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean1687.495614
Minimum1385.91
Maximum2068.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:01.535757image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1385.91
5-th percentile1489.75
Q11568.14
median1660.85
Q31790.04
95-th percentile1934.686
Maximum2068.06
Range682.15
Interquartile range (IQR)221.9

Descriptive statistics

Standard deviation150.595412
Coefficient of variation (CV)0.08924195756
Kurtosis-0.3678309633
Mean1687.495614
Median Absolute Deviation (MAD)110.18
Skewness0.3044678652
Sum96187.25
Variance22678.97811
MonotonicityNot monotonic
2024-05-04T15:25:01.723264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1516.99 1
 
0.1%
1616.3 1
 
0.1%
1550.67 1
 
0.1%
2003.11 1
 
0.1%
1495.79 1
 
0.1%
1760.47 1
 
0.1%
1584.55 1
 
0.1%
1911.37 1
 
0.1%
1703.52 1
 
0.1%
1529.93 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 966
94.4%
ValueCountFrequency (%)
1385.91 1
0.1%
1413.28 1
0.1%
1466.07 1
0.1%
1495.67 1
0.1%
1495.79 1
0.1%
ValueCountFrequency (%)
2068.06 1
0.1%
2003.11 1
0.1%
1937.47 1
0.1%
1933.99 1
0.1%
1911.37 1
0.1%

omega3_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean1.573793103
Minimum0.34
Maximum5.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:01.899404image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.34
5-th percentile0.374
Q10.58
median1.1
Q32.01
95-th percentile4.906
Maximum5.11
Range4.77
Interquartile range (IQR)1.43

Descriptive statistics

Standard deviation1.452845518
Coefficient of variation (CV)0.9231489925
Kurtosis1.271489682
Mean1.573793103
Median Absolute Deviation (MAD)0.61
Skewness1.514333891
Sum45.64
Variance2.110760099
MonotonicityNot monotonic
2024-05-04T15:25:02.052601image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.37 1
 
0.1%
4.23 1
 
0.1%
1.41 1
 
0.1%
2.01 1
 
0.1%
0.95 1
 
0.1%
5.11 1
 
0.1%
2.25 1
 
0.1%
0.58 1
 
0.1%
0.54 1
 
0.1%
0.73 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
0.34 1
0.1%
0.37 1
0.1%
0.38 1
0.1%
0.39 1
0.1%
0.44 1
0.1%
ValueCountFrequency (%)
5.11 1
0.1%
5.09 1
0.1%
4.63 1
0.1%
4.23 1
0.1%
2.56 1
0.1%

omega6_r1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)96.6%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean8.975862069
Minimum1.34
Maximum39.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:02.705431image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.34
5-th percentile2.2
Q13.59
median6.88
Q311.21
95-th percentile22.746
Maximum39.74
Range38.4
Interquartile range (IQR)7.62

Descriptive statistics

Standard deviation8.082378326
Coefficient of variation (CV)0.9004570552
Kurtosis6.87546524
Mean8.975862069
Median Absolute Deviation (MAD)3.29
Skewness2.366599788
Sum260.3
Variance65.32483941
MonotonicityNot monotonic
2024-05-04T15:25:02.876559image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3.59 2
 
0.2%
6.37 1
 
0.1%
20.22 1
 
0.1%
8.57 1
 
0.1%
15.38 1
 
0.1%
13.36 1
 
0.1%
7.42 1
 
0.1%
3.56 1
 
0.1%
7.48 1
 
0.1%
3.58 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 994
97.2%
ValueCountFrequency (%)
1.34 1
0.1%
1.82 1
0.1%
2.77 1
0.1%
3.51 1
0.1%
3.56 1
0.1%
ValueCountFrequency (%)
39.74 1
0.1%
24.43 1
0.1%
20.22 1
0.1%
15.38 1
0.1%
15 1
0.1%

caf_r1
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)37.9%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean6.214827586
Minimum0
Maximum50.57
Zeros18
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:03.031836image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile41.984
Maximum50.57
Range50.57
Interquartile range (IQR)5

Descriptive statistics

Standard deviation13.74908844
Coefficient of variation (CV)2.212304083
Kurtosis5.833060984
Mean6.214827586
Median Absolute Deviation (MAD)0
Skewness2.579254862
Sum180.23
Variance189.037433
MonotonicityNot monotonic
2024-05-04T15:25:03.175859image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 18
 
1.8%
7.98 2
 
0.2%
5 1
 
0.1%
9.04 1
 
0.1%
14.99 1
 
0.1%
33.41 1
 
0.1%
50.57 1
 
0.1%
0.39 1
 
0.1%
47.7 1
 
0.1%
2 1
 
0.1%
(Missing) 994
97.2%
ValueCountFrequency (%)
0 18
1.8%
0.39 1
 
0.1%
1.17 1
 
0.1%
2 1
 
0.1%
5 1
 
0.1%
ValueCountFrequency (%)
50.57 1
0.1%
47.7 1
0.1%
33.41 1
0.1%
14.99 1
0.1%
9.04 1
0.1%

omega3_r2
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)93.2%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean1.277118644
Minimum0.29
Maximum5.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:03.333220image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.29
5-th percentile0.365
Q10.695
median1.01
Q31.555
95-th percentile3.093
Maximum5.16
Range4.87
Interquartile range (IQR)0.86

Descriptive statistics

Standard deviation0.9972808736
Coefficient of variation (CV)0.7808834976
Kurtosis6.028001893
Mean1.277118644
Median Absolute Deviation (MAD)0.39
Skewness2.259987798
Sum75.35
Variance0.9945691409
MonotonicityNot monotonic
2024-05-04T15:25:03.512551image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.3 2
 
0.2%
0.7 2
 
0.2%
0.75 2
 
0.2%
1.38 2
 
0.2%
0.48 1
 
0.1%
1.01 1
 
0.1%
0.56 1
 
0.1%
0.76 1
 
0.1%
1.58 1
 
0.1%
1.44 1
 
0.1%
Other values (45) 45
 
4.4%
(Missing) 964
94.2%
ValueCountFrequency (%)
0.29 1
0.1%
0.31 1
0.1%
0.32 1
0.1%
0.37 1
0.1%
0.38 1
0.1%
ValueCountFrequency (%)
5.16 1
0.1%
4.98 1
0.1%
3.75 1
0.1%
3.02 1
0.1%
2.49 1
0.1%

omega6_r2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)96.6%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean8.213559322
Minimum0.78
Maximum34.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:03.683841image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.78
5-th percentile2.322
Q14.095
median6.92
Q38.63
95-th percentile21.742
Maximum34.93
Range34.15
Interquartile range (IQR)4.535

Descriptive statistics

Standard deviation6.865982553
Coefficient of variation (CV)0.8359326675
Kurtosis7.483262915
Mean8.213559322
Median Absolute Deviation (MAD)2.26
Skewness2.610482405
Sum484.6
Variance47.14171642
MonotonicityNot monotonic
2024-05-04T15:25:03.870078image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.64 2
 
0.2%
3.58 2
 
0.2%
20.91 1
 
0.1%
3.57 1
 
0.1%
7.59 1
 
0.1%
17.76 1
 
0.1%
8.61 1
 
0.1%
4.61 1
 
0.1%
6.12 1
 
0.1%
3.95 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 964
94.2%
ValueCountFrequency (%)
0.78 1
0.1%
1.53 1
0.1%
1.71 1
0.1%
2.39 1
0.1%
2.8 1
0.1%
ValueCountFrequency (%)
34.93 1
0.1%
34.55 1
0.1%
29.23 1
0.1%
20.91 1
0.1%
17.76 1
0.1%

caf_r2
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)39.0%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean16.01525424
Minimum0
Maximum215.04
Zeros36
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:04.039821image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38.46
95-th percentile80.714
Maximum215.04
Range215.04
Interquartile range (IQR)8.46

Descriptive statistics

Standard deviation36.78084037
Coefficient of variation (CV)2.296612956
Kurtosis15.39359918
Mean16.01525424
Median Absolute Deviation (MAD)0
Skewness3.568915491
Sum944.9
Variance1352.830218
MonotonicityNot monotonic
2024-05-04T15:25:04.182528image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 36
 
3.5%
7.8 2
 
0.2%
31.42 1
 
0.1%
215.04 1
 
0.1%
1.04 1
 
0.1%
46.5 1
 
0.1%
63.52 1
 
0.1%
6.48 1
 
0.1%
5.2 1
 
0.1%
127.87 1
 
0.1%
Other values (13) 13
 
1.3%
(Missing) 964
94.2%
ValueCountFrequency (%)
0 36
3.5%
0.94 1
 
0.1%
1.04 1
 
0.1%
1.82 1
 
0.1%
5.2 1
 
0.1%
ValueCountFrequency (%)
215.04 1
0.1%
127.87 1
0.1%
83.81 1
0.1%
80.37 1
0.1%
63.52 1
0.1%

g_proteina_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean70.0919069
Minimum37.3681
Maximum112.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:04.329959image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum37.3681
5-th percentile41.8036
Q154.6381
median64.5894
Q377.972
95-th percentile107.2714
Maximum112.5
Range75.1319
Interquartile range (IQR)23.3339

Descriptive statistics

Standard deviation21.0560392
Coefficient of variation (CV)0.30040614
Kurtosis-0.5882922493
Mean70.0919069
Median Absolute Deviation (MAD)11.1069
Skewness0.5743961586
Sum2032.6653
Variance443.3567868
MonotonicityNot monotonic
2024-05-04T15:25:04.491088image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
57.3733 1
 
0.1%
75.243 1
 
0.1%
87.6154 1
 
0.1%
69.2184 1
 
0.1%
73.35 1
 
0.1%
99.085 1
 
0.1%
77.972 1
 
0.1%
61.6 1
 
0.1%
73.15 1
 
0.1%
64.5894 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
37.3681 1
0.1%
38.1928 1
0.1%
47.2198 1
0.1%
50.2184 1
0.1%
50.8649 1
0.1%
ValueCountFrequency (%)
112.5 1
0.1%
108.643 1
0.1%
105.214 1
0.1%
100.532 1
0.1%
99.085 1
0.1%

g_lipidos_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean57.99445172
Minimum22.8151
Maximum124.698
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:04.658324image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum22.8151
5-th percentile24.42224
Q132.9327
median55.1289
Q368.718
95-th percentile109.7016
Maximum124.698
Range101.8829
Interquartile range (IQR)35.7853

Descriptive statistics

Standard deviation28.63929648
Coefficient of variation (CV)0.4938282133
Kurtosis-0.2058016533
Mean57.99445172
Median Absolute Deviation (MAD)19.3411
Skewness0.789775435
Sum1681.8391
Variance820.2093027
MonotonicityNot monotonic
2024-05-04T15:25:04.828140image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
22.8151 1
 
0.1%
110.614 1
 
0.1%
68.718 1
 
0.1%
63.4502 1
 
0.1%
39.12 1
 
0.1%
90.3933 1
 
0.1%
62.8108 1
 
0.1%
32.3556 1
 
0.1%
56.4667 1
 
0.1%
57.4128 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
22.8151 1
0.1%
23.77 1
0.1%
25.4006 1
0.1%
28.5557 1
0.1%
28.8838 1
0.1%
ValueCountFrequency (%)
124.698 1
0.1%
110.614 1
0.1%
108.333 1
0.1%
104.933 1
0.1%
90.3933 1
0.1%

g_hc_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean228.3676897
Minimum123.095
Maximum350.315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:04.989831image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum123.095
5-th percentile135.8928
Q1183.635
median221.5
Q3268.75
95-th percentile328.9032
Maximum350.315
Range227.22
Interquartile range (IQR)85.115

Descriptive statistics

Standard deviation63.40295338
Coefficient of variation (CV)0.2776353935
Kurtosis-0.8639029553
Mean228.3676897
Median Absolute Deviation (MAD)46.529
Skewness0.1494221981
Sum6622.663
Variance4019.934497
MonotonicityNot monotonic
2024-05-04T15:25:05.152525image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
193.258 1
 
0.1%
243.093 1
 
0.1%
273.154 1
 
0.1%
220.634 1
 
0.1%
322.74 1
 
0.1%
219.03 1
 
0.1%
268.029 1
 
0.1%
142.8 1
 
0.1%
188.65 1
 
0.1%
186.169 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
123.095 1
0.1%
131.288 1
0.1%
142.8 1
0.1%
149.918 1
0.1%
152.74 1
0.1%
ValueCountFrequency (%)
350.315 1
0.1%
333.012 1
0.1%
322.74 1
0.1%
315.642 1
0.1%
306.929 1
0.1%

g_proteina_r2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean77.24312982
Minimum24.714
Maximum161.313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:05.314803image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum24.714
5-th percentile34.72812
Q158.4177
median76.05
Q392.0857
95-th percentile127.7844
Maximum161.313
Range136.599
Interquartile range (IQR)33.668

Descriptive statistics

Standard deviation27.57492763
Coefficient of variation (CV)0.3569887405
Kurtosis0.5932892315
Mean77.24312982
Median Absolute Deviation (MAD)17.6323
Skewness0.5246170118
Sum4402.8584
Variance760.3766336
MonotonicityNot monotonic
2024-05-04T15:25:05.502764image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.2325 1
 
0.1%
99.06 1
 
0.1%
101.266 1
 
0.1%
24.714 1
 
0.1%
131.937 1
 
0.1%
48.0225 1
 
0.1%
77.825 1
 
0.1%
67.0182 1
 
0.1%
52.3047 1
 
0.1%
97.3956 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 966
94.4%
ValueCountFrequency (%)
24.714 1
0.1%
30.5332 1
0.1%
32.4994 1
0.1%
35.2853 1
0.1%
38.3715 1
0.1%
ValueCountFrequency (%)
161.313 1
0.1%
131.937 1
0.1%
130.242 1
0.1%
127.17 1
0.1%
118.333 1
0.1%

g_lipidos_r2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean61.80750526
Minimum21.6667
Maximum135.066
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:05.697654image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum21.6667
5-th percentile24.64024
Q144.0222
median57.6738
Q377.6904
95-th percentile104.5638
Maximum135.066
Range113.3993
Interquartile range (IQR)33.6682

Descriptive statistics

Standard deviation26.5114977
Coefficient of variation (CV)0.428936544
Kurtosis0.2390803549
Mean61.80750526
Median Absolute Deviation (MAD)17.7303
Skewness0.7374835328
Sum3523.0278
Variance702.8595104
MonotonicityNot monotonic
2024-05-04T15:25:05.892022image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.1333 1
 
0.1%
104.987 1
 
0.1%
71.4819 1
 
0.1%
34.6418 1
 
0.1%
129.005 1
 
0.1%
24.7133 1
 
0.1%
44.0222 1
 
0.1%
54.3154 1
 
0.1%
34.8698 1
 
0.1%
67.6358 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 966
94.4%
ValueCountFrequency (%)
21.6667 1
0.1%
22.1477 1
0.1%
24.348 1
0.1%
24.7133 1
0.1%
28.8566 1
0.1%
ValueCountFrequency (%)
135.066 1
0.1%
129.005 1
0.1%
104.987 1
0.1%
104.458 1
0.1%
103.24 1
0.1%

g_hc_r2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean284.4615175
Minimum89.3505
Maximum491.724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:06.100652image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum89.3505
5-th percentile141.9802
Q1208.163
median278.85
Q3359.146
95-th percentile440.0272
Maximum491.724
Range402.3735
Interquartile range (IQR)150.983

Descriptive statistics

Standard deviation101.9817538
Coefficient of variation (CV)0.3585080844
Kurtosis-0.8508522133
Mean284.4615175
Median Absolute Deviation (MAD)73.761
Skewness0.2255186856
Sum16214.3065
Variance10400.2781
MonotonicityNot monotonic
2024-05-04T15:25:06.316502image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
290.565 1
 
0.1%
426.72 1
 
0.1%
333.582 1
 
0.1%
89.3505 1
 
0.1%
457.38 1
 
0.1%
149.122 1
 
0.1%
176.875 1
 
0.1%
204.997 1
 
0.1%
246.579 1
 
0.1%
359.146 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 966
94.4%
ValueCountFrequency (%)
89.3505 1
0.1%
103.142 1
0.1%
136.497 1
0.1%
143.351 1
0.1%
149.122 1
0.1%
ValueCountFrequency (%)
491.724 1
0.1%
474.114 1
0.1%
457.38 1
0.1%
435.689 1
0.1%
434.141 1
0.1%

g_proteina_ffq
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean98.76399688
Minimum29.1414
Maximum232.598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:06.515584image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum29.1414
5-th percentile42.6834
Q173.35625
median98.78
Q3118.31925
95-th percentile168.58575
Maximum232.598
Range203.4566
Interquartile range (IQR)44.963

Descriptive statistics

Standard deviation39.39031542
Coefficient of variation (CV)0.3988327393
Kurtosis1.630579789
Mean98.76399688
Median Absolute Deviation (MAD)23.856
Skewness0.9120924924
Sum6320.8958
Variance1551.596949
MonotonicityNot monotonic
2024-05-04T15:25:06.709549image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.56 1
 
0.1%
138.588 1
 
0.1%
135.118 1
 
0.1%
48.544 1
 
0.1%
113.56 1
 
0.1%
42.348 1
 
0.1%
139.413 1
 
0.1%
124.566 1
 
0.1%
53.368 1
 
0.1%
85.2919 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
29.1414 1
0.1%
39.0375 1
0.1%
39.7305 1
0.1%
42.348 1
0.1%
44.584 1
0.1%
ValueCountFrequency (%)
232.598 1
0.1%
202.145 1
0.1%
191.335 1
0.1%
172.395 1
0.1%
147 1
0.1%

g_lipidos_ffq
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean71.55287656
Minimum27.6046
Maximum193.507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:06.903919image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum27.6046
5-th percentile32.06975
Q147.007175
median65.59685
Q385.758025
95-th percentile134.7437
Maximum193.507
Range165.9024
Interquartile range (IQR)38.75085

Descriptive statistics

Standard deviation32.74942692
Coefficient of variation (CV)0.4576954624
Kurtosis2.472038493
Mean71.55287656
Median Absolute Deviation (MAD)19.28975
Skewness1.310247466
Sum4579.3841
Variance1072.524964
MonotonicityNot monotonic
2024-05-04T15:25:07.097050image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58.0767 1
 
0.1%
90.5806 1
 
0.1%
63.2133 1
 
0.1%
36.3371 1
 
0.1%
78.8611 1
 
0.1%
27.6046 1
 
0.1%
91.3111 1
 
0.1%
92.271 1
 
0.1%
35.5787 1
 
0.1%
55.5977 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
27.6046 1
0.1%
29.8473 1
0.1%
30.5977 1
0.1%
31.9844 1
0.1%
32.5534 1
0.1%
ValueCountFrequency (%)
193.507 1
0.1%
157.497 1
0.1%
145.064 1
0.1%
136.022 1
0.1%
127.5 1
0.1%

g_hc_ffq
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean333.8519375
Minimum120.083
Maximum699.733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:07.281568image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum120.083
5-th percentile158.74925
Q1231.291
median323.3095
Q3405.7195
95-th percentile592.4377
Maximum699.733
Range579.65
Interquartile range (IQR)174.4285

Descriptive statistics

Standard deviation136.5214453
Coefficient of variation (CV)0.4089281203
Kurtosis0.2328757199
Mean333.8519375
Median Absolute Deviation (MAD)93.0575
Skewness0.7091812516
Sum21366.524
Variance18638.10502
MonotonicityNot monotonic
2024-05-04T15:25:07.461407image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
379.573 1
 
0.1%
464.678 1
 
0.1%
419.578 1
 
0.1%
120.083 1
 
0.1%
418.753 1
 
0.1%
177.862 1
 
0.1%
242.137 1
 
0.1%
359.857 1
 
0.1%
133.42 1
 
0.1%
352.54 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
120.083 1
0.1%
124.92 1
0.1%
133.42 1
0.1%
158.24 1
0.1%
161.635 1
0.1%
ValueCountFrequency (%)
699.733 1
0.1%
685.552 1
0.1%
630.13 1
0.1%
596.515 1
0.1%
569.333 1
0.1%

p_mono_lr1
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)89.7%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean34.20555862
Minimum0
Maximum89.3234
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:07.633255image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130.1291
median35.2233
Q342.3494
95-th percentile54.18642
Maximum89.3234
Range89.3234
Interquartile range (IQR)12.2203

Descriptive statistics

Standard deviation18.33987899
Coefficient of variation (CV)0.536166627
Kurtosis2.569158825
Mean34.20555862
Median Absolute Deviation (MAD)5.9595
Skewness0.1659261838
Sum991.9612
Variance336.3511613
MonotonicityNot monotonic
2024-05-04T15:25:07.790773image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 4
 
0.4%
22.0205 1
 
0.1%
41.1828 1
 
0.1%
38.1401 1
 
0.1%
45.501 1
 
0.1%
47.5699 1
 
0.1%
42.3494 1
 
0.1%
33.7191 1
 
0.1%
24.8642 1
 
0.1%
35.8435 1
 
0.1%
Other values (16) 16
 
1.6%
(Missing) 994
97.2%
ValueCountFrequency (%)
0 4
0.4%
22.0205 1
 
0.1%
24.8642 1
 
0.1%
29.8107 1
 
0.1%
30.1291 1
 
0.1%
ValueCountFrequency (%)
89.3234 1
0.1%
56.7019 1
0.1%
50.4132 1
0.1%
47.5699 1
0.1%
45.501 1
0.1%

talla_cm
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)53.1%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean158.3828125
Minimum146
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:07.961520image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum146
5-th percentile149.075
Q1154.375
median159.25
Q3163
95-th percentile166.85
Maximum168
Range22
Interquartile range (IQR)8.625

Descriptive statistics

Standard deviation5.74482665
Coefficient of variation (CV)0.03627178075
Kurtosis-0.9422567841
Mean158.3828125
Median Absolute Deviation (MAD)4.35
Skewness-0.2302609804
Sum10136.5
Variance33.00303323
MonotonicityNot monotonic
2024-05-04T15:25:08.129957image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
165 8
 
0.8%
160 7
 
0.7%
155 4
 
0.4%
163 4
 
0.4%
159 3
 
0.3%
150 3
 
0.3%
156 2
 
0.2%
162 2
 
0.2%
167 2
 
0.2%
168 2
 
0.2%
Other values (24) 27
 
2.6%
(Missing) 959
93.7%
ValueCountFrequency (%)
146 1
 
0.1%
148 2
0.2%
149 1
 
0.1%
149.5 1
 
0.1%
150 3
0.3%
ValueCountFrequency (%)
168 2
 
0.2%
167 2
 
0.2%
166 1
 
0.1%
165 8
0.8%
163.7 1
 
0.1%

ger_fao
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)86.2%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean1519.827692
Minimum1146
Maximum1862.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:08.311115image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1146
5-th percentile1268.118
Q11398.17
median1538.68
Q31629.41
95-th percentile1744.986
Maximum1862.56
Range716.56
Interquartile range (IQR)231.24

Descriptive statistics

Standard deviation153.8880613
Coefficient of variation (CV)0.1012536238
Kurtosis-0.3593832079
Mean1519.827692
Median Absolute Deviation (MAD)103.73
Skewness-0.1782831574
Sum98788.8
Variance23681.53542
MonotonicityNot monotonic
2024-05-04T15:25:08.502149image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1242.32 2
 
0.2%
1523.86 2
 
0.2%
1527.5 2
 
0.2%
1398.17 2
 
0.2%
1599.77 2
 
0.2%
1641.29 2
 
0.2%
1357.54 2
 
0.2%
1646.04 2
 
0.2%
1551.9 2
 
0.2%
1497.86 1
 
0.1%
Other values (46) 46
 
4.5%
(Missing) 958
93.6%
ValueCountFrequency (%)
1146 1
0.1%
1242.32 2
0.2%
1268.11 1
0.1%
1268.15 1
0.1%
1301.59 1
0.1%
ValueCountFrequency (%)
1862.56 1
0.1%
1822.04 1
0.1%
1792.4 1
0.1%
1747.95 1
0.1%
1733.13 1
0.1%

kcal_mono_r1
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)82.8%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean178.8424138
Minimum0
Maximum564.48
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:08.668433image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q180.55
median133.2
Q3239.4
95-th percentile440.46
Maximum564.48
Range564.48
Interquartile range (IQR)158.85

Descriptive statistics

Standard deviation140.6735221
Coefficient of variation (CV)0.7865780782
Kurtosis1.011219475
Mean178.8424138
Median Absolute Deviation (MAD)78.66
Skewness1.037028167
Sum5186.43
Variance19789.03983
MonotonicityNot monotonic
2024-05-04T15:25:08.817538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 4
 
0.4%
387 2
 
0.2%
133.2 2
 
0.2%
254.7 1
 
0.1%
217.8 1
 
0.1%
160.2 1
 
0.1%
239.4 1
 
0.1%
98.19 1
 
0.1%
126.36 1
 
0.1%
76.68 1
 
0.1%
Other values (14) 14
 
1.4%
(Missing) 994
97.2%
ValueCountFrequency (%)
0 4
0.4%
72.45 1
 
0.1%
76.68 1
 
0.1%
77.49 1
 
0.1%
80.55 1
 
0.1%
ValueCountFrequency (%)
564.48 1
0.1%
476.1 1
0.1%
387 2
0.2%
287.64 1
0.1%
256.68 1
0.1%

kcal_mono_r2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)98.3%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean206.1640678
Minimum58.68
Maximum423.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:08.995961image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum58.68
5-th percentile79.191
Q1143.37
median199.08
Q3265.275
95-th percentile357.516
Maximum423.54
Range364.86
Interquartile range (IQR)121.905

Descriptive statistics

Standard deviation89.09432122
Coefficient of variation (CV)0.432152519
Kurtosis-0.4407531165
Mean206.1640678
Median Absolute Deviation (MAD)62.01
Skewness0.4595815025
Sum12163.68
Variance7937.798073
MonotonicityNot monotonic
2024-05-04T15:25:09.184506image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187.2 2
 
0.2%
322.2 1
 
0.1%
86.4 1
 
0.1%
356.94 1
 
0.1%
58.68 1
 
0.1%
148.86 1
 
0.1%
137.88 1
 
0.1%
216.81 1
 
0.1%
107.73 1
 
0.1%
191.97 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 964
94.2%
ValueCountFrequency (%)
58.68 1
0.1%
62.01 1
0.1%
76.68 1
0.1%
79.47 1
0.1%
84.24 1
0.1%
ValueCountFrequency (%)
423.54 1
0.1%
387.9 1
0.1%
362.7 1
0.1%
356.94 1
0.1%
353.7 1
0.1%

kcal_mono_ffq
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean240.7381875
Minimum98.19
Maximum715.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:09.363478image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum98.19
5-th percentile101.808
Q1161.055
median213.975
Q3283.1625
95-th percentile428.985
Maximum715.23
Range617.04
Interquartile range (IQR)122.1075

Descriptive statistics

Standard deviation124.2129307
Coefficient of variation (CV)0.5159668768
Kurtosis4.750421934
Mean240.7381875
Median Absolute Deviation (MAD)62.55
Skewness1.830224757
Sum15407.244
Variance15428.85216
MonotonicityNot monotonic
2024-05-04T15:25:09.544709image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
358.38 1
 
0.1%
297.36 1
 
0.1%
189.99 1
 
0.1%
132.12 1
 
0.1%
277.38 1
 
0.1%
98.19 1
 
0.1%
290.25 1
 
0.1%
280.8 1
 
0.1%
115.02 1
 
0.1%
185.04 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
98.19 1
0.1%
99 1
0.1%
99.45 1
0.1%
100.35 1
0.1%
110.07 1
0.1%
ValueCountFrequency (%)
715.23 1
0.1%
699.3 1
0.1%
506.61 1
0.1%
432.9 1
0.1%
406.8 1
0.1%

p_mono_kr1
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)89.7%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean9.984282069
Minimum0
Maximum24.3818
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:09.712495image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.26678
median9.54853
Q312.3548
95-th percentile19.95962
Maximum24.3818
Range24.3818
Interquartile range (IQR)5.08802

Descriptive statistics

Standard deviation5.964429566
Coefficient of variation (CV)0.5973819174
Kurtosis0.4534818623
Mean9.984282069
Median Absolute Deviation (MAD)2.80627
Skewness0.2892781797
Sum289.54418
Variance35.57442004
MonotonicityNot monotonic
2024-05-04T15:25:09.870734image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 4
 
0.4%
7.26678 1
 
0.1%
12.3548 1
 
0.1%
12.5863 1
 
0.1%
8.19018 1
 
0.1%
18.5522 1
 
0.1%
12.2813 1
 
0.1%
8.76696 1
 
0.1%
8.20519 1
 
0.1%
6.45183 1
 
0.1%
Other values (16) 16
 
1.6%
(Missing) 994
97.2%
ValueCountFrequency (%)
0 4
0.4%
6.41548 1
 
0.1%
6.45183 1
 
0.1%
6.69242 1
 
0.1%
7.26678 1
 
0.1%
ValueCountFrequency (%)
24.3818 1
0.1%
20.1653 1
0.1%
19.6511 1
0.1%
18.5522 1
0.1%
14.0935 1
0.1%

ev_mono_kr1
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)6.9%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean0.3448275862
Minimum0
Maximum1
Zeros19
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:10.007086image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4837252813
Coefficient of variation (CV)1.402803316
Kurtosis-1.643724696
Mean0.3448275862
Median Absolute Deviation (MAD)0
Skewness0.6890963657
Sum10
Variance0.2339901478
MonotonicityNot monotonic
2024-05-04T15:25:10.615242image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 19
 
1.9%
1 10
 
1.0%
(Missing) 994
97.2%
ValueCountFrequency (%)
0 19
1.9%
1 10
1.0%
ValueCountFrequency (%)
1 10
1.0%
0 19
1.9%

p_mono_kr2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean10.56254579
Minimum3.33147
Maximum35.4033
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:10.774962image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.33147
5-th percentile5.811974
Q17.88413
median9.92562
Q312.6049
95-th percentile15.44
Maximum35.4033
Range32.07183
Interquartile range (IQR)4.72077

Descriptive statistics

Standard deviation4.792070231
Coefficient of variation (CV)0.4536851557
Kurtosis12.73871845
Mean10.56254579
Median Absolute Deviation (MAD)2.23169
Skewness2.821923636
Sum602.06511
Variance22.9639371
MonotonicityNot monotonic
2024-05-04T15:25:10.964290image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.07155 1
 
0.1%
10.5709 1
 
0.1%
8.69885 1
 
0.1%
11.362 1
 
0.1%
10.1452 1
 
0.1%
5.80415 1
 
0.1%
10.5201 1
 
0.1%
13.7491 1
 
0.1%
7.20882 1
 
0.1%
7.88413 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 966
94.4%
ValueCountFrequency (%)
3.33147 1
0.1%
4.1425 1
0.1%
5.80415 1
0.1%
5.81393 1
0.1%
5.87396 1
0.1%
ValueCountFrequency (%)
35.4033 1
0.1%
23.816 1
0.1%
15.472 1
0.1%
15.432 1
0.1%
14.9291 1
0.1%

ev_mono_kr2
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)3.5%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.8245614035
Minimum0
Maximum1
Zeros10
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:11.135415image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3837226964
Coefficient of variation (CV)0.4653658234
Kurtosis1.111334623
Mean0.8245614035
Median Absolute Deviation (MAD)0
Skewness-1.753159975
Sum47
Variance0.1472431078
MonotonicityNot monotonic
2024-05-04T15:25:11.278389image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 47
 
4.6%
0 10
 
1.0%
(Missing) 966
94.4%
ValueCountFrequency (%)
0 10
 
1.0%
1 47
4.6%
ValueCountFrequency (%)
1 47
4.6%
0 10
 
1.0%

p_mono_kffq
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean9.972676563
Minimum5.66565
Maximum24.3735
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:11.452889image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.66565
5-th percentile6.457052
Q18.25593
median9.629135
Q311.214375
95-th percentile14.770135
Maximum24.3735
Range18.70785
Interquartile range (IQR)2.958445

Descriptive statistics

Standard deviation2.920249512
Coefficient of variation (CV)0.2928250499
Kurtosis8.644392476
Mean9.972676563
Median Absolute Deviation (MAD)1.52172
Skewness2.200489486
Sum638.2513
Variance8.527857212
MonotonicityNot monotonic
2024-05-04T15:25:11.662639image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.3986 1
 
0.1%
9.11896 1
 
0.1%
6.67897 1
 
0.1%
12.9278 1
 
0.1%
9.77034 1
 
0.1%
8.69492 1
 
0.1%
9.88927 1
 
0.1%
10.144 1
 
0.1%
10.7761 1
 
0.1%
8.13559 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
5.66565 1
0.1%
6.08482 1
0.1%
6.22372 1
0.1%
6.41789 1
0.1%
6.67897 1
0.1%
ValueCountFrequency (%)
24.3735 1
0.1%
17.0186 1
0.1%
15.3526 1
0.1%
14.8357 1
0.1%
14.3986 1
0.1%

ev_mono_kffq
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.1%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.15625
Minimum0
Maximum1
Zeros54
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:11.829205image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3659625274
Coefficient of variation (CV)2.342160175
Kurtosis1.816322933
Mean0.15625
Median Absolute Deviation (MAD)0
Skewness1.939207887
Sum10
Variance0.1339285714
MonotonicityNot monotonic
2024-05-04T15:25:11.965481image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 54
 
5.3%
1 10
 
1.0%
(Missing) 959
93.7%
ValueCountFrequency (%)
0 54
5.3%
1 10
 
1.0%
ValueCountFrequency (%)
1 10
 
1.0%
0 54
5.3%

kcal_poly_r1
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)96.2%
Missing997
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean109.2773077
Minimum0
Maximum404.1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:12.112813image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29.0475
Q146.215
median81.81
Q3155.025
95-th percentile231.6375
Maximum404.1
Range404.1
Interquartile range (IQR)108.81

Descriptive statistics

Standard deviation89.51046913
Coefficient of variation (CV)0.8191130531
Kurtosis3.383272742
Mean109.2773077
Median Absolute Deviation (MAD)42.03
Skewness1.651000386
Sum2841.21
Variance8012.124084
MonotonicityNot monotonic
2024-05-04T15:25:12.283684image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
44.82 2
 
0.2%
81.72 1
 
0.1%
142.2 1
 
0.1%
159.3 1
 
0.1%
41.67 1
 
0.1%
166.5 1
 
0.1%
87.3 1
 
0.1%
37.89 1
 
0.1%
81.9 1
 
0.1%
55.35 1
 
0.1%
Other values (15) 15
 
1.5%
(Missing) 997
97.5%
ValueCountFrequency (%)
0 1
0.1%
28.53 1
0.1%
30.6 1
0.1%
37.89 1
0.1%
41.67 1
0.1%
ValueCountFrequency (%)
404.1 1
0.1%
231.75 1
0.1%
231.3 1
0.1%
220.5 1
0.1%
190.35 1
0.1%

kcal_poly_r2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)96.6%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean113.6364407
Minimum16.56
Maximum369.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:12.471082image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum16.56
5-th percentile36.963
Q157.78
median89.46
Q3149.625
95-th percentile313.623
Maximum369.09
Range352.53
Interquartile range (IQR)91.845

Descriptive statistics

Standard deviation80.73239917
Coefficient of variation (CV)0.710444631
Kurtosis2.573259763
Mean113.6364407
Median Absolute Deviation (MAD)37.53
Skewness1.619052218
Sum6704.55
Variance6517.720275
MonotonicityNot monotonic
2024-05-04T15:25:12.692804image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
216.36 2
 
0.2%
43.56 2
 
0.2%
18.36 1
 
0.1%
148.05 1
 
0.1%
112.14 1
 
0.1%
39.15 1
 
0.1%
174.6 1
 
0.1%
90.9 1
 
0.1%
51.93 1
 
0.1%
193.5 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 964
94.2%
ValueCountFrequency (%)
16.56 1
0.1%
18.36 1
0.1%
34.29 1
0.1%
37.26 1
0.1%
39.15 1
0.1%
ValueCountFrequency (%)
369.09 1
0.1%
359.1 1
0.1%
334.44 1
0.1%
311.31 1
0.1%
216.36 2
0.2%

kcal_poly_ffq
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean130.806
Minimum48.33
Maximum361.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:12.952137image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum48.33
5-th percentile52.8165
Q184.96
median107.55
Q3159.0975
95-th percentile257.814
Maximum361.44
Range313.11
Interquartile range (IQR)74.1375

Descriptive statistics

Standard deviation69.15587343
Coefficient of variation (CV)0.5286903768
Kurtosis1.99824292
Mean130.806
Median Absolute Deviation (MAD)38.565
Skewness1.402929491
Sum8371.584
Variance4782.53483
MonotonicityNot monotonic
2024-05-04T15:25:13.144137image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
146.79 1
 
0.1%
171.27 1
 
0.1%
116.82 1
 
0.1%
48.33 1
 
0.1%
115.74 1
 
0.1%
49.32 1
 
0.1%
87.12 1
 
0.1%
152.19 1
 
0.1%
54.27 1
 
0.1%
99.18 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
48.33 1
0.1%
49.32 1
0.1%
52.11 1
0.1%
52.56 1
0.1%
54.27 1
0.1%
ValueCountFrequency (%)
361.44 1
0.1%
345.33 1
0.1%
278.1 1
0.1%
258.57 1
0.1%
253.53 1
0.1%

p_poly_kr1
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing997
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean6.470585769
Minimum0
Maximum34.1991
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:13.306380image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.23113
Q13.64994
median5.069755
Q36.869415
95-th percentile11.007135
Maximum34.1991
Range34.1991
Interquartile range (IQR)3.219475

Descriptive statistics

Standard deviation6.242403549
Coefficient of variation (CV)0.9647354615
Kurtosis16.53742318
Mean6.470585769
Median Absolute Deviation (MAD)1.70067
Skewness3.723549956
Sum168.23523
Variance38.96760206
MonotonicityNot monotonic
2024-05-04T15:25:13.470436image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
4.45826 1
 
0.1%
6.89776 1
 
0.1%
9.20565 1
 
0.1%
2.13037 1
 
0.1%
7.98178 1
 
0.1%
4.47853 1
 
0.1%
3.38304 1
 
0.1%
5.31818 1
 
0.1%
4.65713 1
 
0.1%
0 1
 
0.1%
Other values (16) 16
 
1.6%
(Missing) 997
97.5%
ValueCountFrequency (%)
0 1
0.1%
2.13037 1
0.1%
2.53341 1
0.1%
2.66426 1
0.1%
2.84424 1
0.1%
ValueCountFrequency (%)
34.1991 1
0.1%
11.4106 1
0.1%
9.79674 1
0.1%
9.52414 1
0.1%
9.20565 1
0.1%

ev_poly_kr1
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)7.7%
Missing997
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean0.3076923077
Minimum0
Maximum1
Zeros18
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:13.616388image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4706787243
Coefficient of variation (CV)1.529705854
Kurtosis-1.324728261
Mean0.3076923077
Median Absolute Deviation (MAD)0
Skewness0.8852464433
Sum8
Variance0.2215384615
MonotonicityNot monotonic
2024-05-04T15:25:13.763406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 18
 
1.8%
1 8
 
0.8%
(Missing) 997
97.5%
ValueCountFrequency (%)
0 18
1.8%
1 8
0.8%
ValueCountFrequency (%)
1 8
0.8%
0 18
1.8%

p_poly_kr2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean5.766077544
Minimum1.88308
Maximum32.7748
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:13.927325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.88308
5-th percentile1.973874
Q13.01181
median4.70637
Q36.09773
95-th percentile12.57818
Maximum32.7748
Range30.89172
Interquartile range (IQR)3.08592

Descriptive statistics

Standard deviation4.886307021
Coefficient of variation (CV)0.8474230504
Kurtosis16.74733636
Mean5.766077544
Median Absolute Deviation (MAD)1.69456
Skewness3.561231952
Sum328.66642
Variance23.8759963
MonotonicityNot monotonic
2024-05-04T15:25:14.103842image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.11584 1
 
0.1%
3.01181 1
 
0.1%
4.70637 1
 
0.1%
5.1484 1
 
0.1%
4.96261 1
 
0.1%
8.9911 1
 
0.1%
3.66997 1
 
0.1%
7.7906 1
 
0.1%
2.83655 1
 
0.1%
3.51515 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 966
94.4%
ValueCountFrequency (%)
1.88308 1
0.1%
1.90065 1
0.1%
1.91081 1
0.1%
1.98964 1
0.1%
2.01409 1
0.1%
ValueCountFrequency (%)
32.7748 1
0.1%
18.2544 1
0.1%
15.7057 1
0.1%
11.7963 1
0.1%
10.627 1
0.1%

ev_poly_kr2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.5%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.2280701754
Minimum0
Maximum1
Zeros44
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:14.252107image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4233178416
Coefficient of variation (CV)1.856085921
Kurtosis-0.2367450731
Mean0.2280701754
Median Absolute Deviation (MAD)0
Skewness1.331473206
Sum13
Variance0.179197995
MonotonicityNot monotonic
2024-05-04T15:25:14.380347image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 44
 
4.3%
1 13
 
1.3%
(Missing) 966
94.4%
ValueCountFrequency (%)
0 44
4.3%
1 13
 
1.3%
ValueCountFrequency (%)
1 13
 
1.3%
0 44
4.3%

p_poly_kffq
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean5.363550938
Minimum2.96831
Maximum10.5188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:14.543664image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.96831
5-th percentile3.52863
Q14.384255
median5.064085
Q35.8866675
95-th percentile8.7343825
Maximum10.5188
Range7.55049
Interquartile range (IQR)1.5024125

Descriptive statistics

Standard deviation1.533152745
Coefficient of variation (CV)0.2858465899
Kurtosis2.437888336
Mean5.363550938
Median Absolute Deviation (MAD)0.769235
Skewness1.439796325
Sum343.26726
Variance2.35055734
MonotonicityNot monotonic
2024-05-04T15:25:14.740496image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.89755 1
 
0.1%
5.25223 1
 
0.1%
4.10673 1
 
0.1%
4.72905 1
 
0.1%
4.07679 1
 
0.1%
4.36738 1
 
0.1%
2.96831 1
 
0.1%
5.49794 1
 
0.1%
5.08451 1
 
0.1%
4.36061 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
2.96831 1
0.1%
3.09898 1
0.1%
3.43596 1
0.1%
3.47907 1
0.1%
3.80947 1
0.1%
ValueCountFrequency (%)
10.5188 1
0.1%
9.69293 1
0.1%
9.43461 1
0.1%
8.75221 1
0.1%
8.63336 1
0.1%

ev_poly_kffq
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.1%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.125
Minimum0
Maximum1
Zeros56
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:14.914690image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3333333333
Coefficient of variation (CV)2.666666667
Kurtosis3.502908514
Mean0.125
Median Absolute Deviation (MAD)0
Skewness2.322580645
Sum8
Variance0.1111111111
MonotonicityNot monotonic
2024-05-04T15:25:15.051600image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 56
 
5.5%
1 8
 
0.8%
(Missing) 959
93.7%
ValueCountFrequency (%)
0 56
5.5%
1 8
 
0.8%
ValueCountFrequency (%)
1 8
 
0.8%
0 56
5.5%

kcal_sat_r1
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing997
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean179.2453846
Minimum0
Maximum500.4
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:15.216413image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile66.06
Q1115.245
median172.35
Q3210.375
95-th percentile340.8525
Maximum500.4
Range500.4
Interquartile range (IQR)95.13

Descriptive statistics

Standard deviation100.2315452
Coefficient of variation (CV)0.5591861985
Kurtosis3.313139133
Mean179.2453846
Median Absolute Deviation (MAD)48.195
Skewness1.320434082
Sum4660.38
Variance10046.36266
MonotonicityNot monotonic
2024-05-04T15:25:15.375857image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
106.2 1
 
0.1%
200.7 1
 
0.1%
131.4 1
 
0.1%
254.7 1
 
0.1%
207.45 1
 
0.1%
210.6 1
 
0.1%
134.28 1
 
0.1%
160.2 1
 
0.1%
64.44 1
 
0.1%
0 1
 
0.1%
Other values (16) 16
 
1.6%
(Missing) 997
97.5%
ValueCountFrequency (%)
0 1
0.1%
64.44 1
0.1%
70.92 1
0.1%
106.2 1
0.1%
107.28 1
0.1%
ValueCountFrequency (%)
500.4 1
0.1%
351.27 1
0.1%
309.6 1
0.1%
254.7 1
0.1%
231.84 1
0.1%

kcal_sat_r2
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)100.0%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean212.5235593
Minimum55.8
Maximum576.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:15.558967image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum55.8
5-th percentile94.104
Q1137.97
median190.98
Q3260.1
95-th percentile419.778
Maximum576.09
Range520.29
Interquartile range (IQR)122.13

Descriptive statistics

Standard deviation104.6412336
Coefficient of variation (CV)0.4923747465
Kurtosis1.521970525
Mean212.5235593
Median Absolute Deviation (MAD)62.64
Skewness1.188003335
Sum12538.89
Variance10949.78778
MonotonicityNot monotonic
2024-05-04T15:25:15.758230image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
175.41 1
 
0.1%
271.98 1
 
0.1%
94.95 1
 
0.1%
576.09 1
 
0.1%
55.8 1
 
0.1%
165.87 1
 
0.1%
148.41 1
 
0.1%
120.33 1
 
0.1%
142.83 1
 
0.1%
200.97 1
 
0.1%
Other values (49) 49
 
4.8%
(Missing) 964
94.2%
ValueCountFrequency (%)
55.8 1
0.1%
82.71 1
0.1%
86.49 1
0.1%
94.95 1
0.1%
95.22 1
0.1%
ValueCountFrequency (%)
576.09 1
0.1%
429.3 1
0.1%
423.18 1
0.1%
419.4 1
0.1%
382.77 1
0.1%

kcal_sat_ffq
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean238.0023281
Minimum58.77
Maximum1015.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:15.950388image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum58.77
5-th percentile87.624
Q1134.1
median204.615
Q3283.86
95-th percentile495.8685
Maximum1015.2
Range956.43
Interquartile range (IQR)149.76

Descriptive statistics

Standard deviation150.9787344
Coefficient of variation (CV)0.6343582249
Kurtosis10.29544682
Mean238.0023281
Median Absolute Deviation (MAD)75.285
Skewness2.506210118
Sum15232.149
Variance22794.57824
MonotonicityNot monotonic
2024-05-04T15:25:16.159275image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
279.9 2
 
0.2%
235.71 1
 
0.1%
206.64 1
 
0.1%
131.4 1
 
0.1%
86.49 1
 
0.1%
388.53 1
 
0.1%
314.01 1
 
0.1%
135 1
 
0.1%
154.98 1
 
0.1%
205.92 1
 
0.1%
Other values (53) 53
 
5.2%
(Missing) 959
93.7%
ValueCountFrequency (%)
58.77 1
0.1%
63.9 1
0.1%
81.18 1
0.1%
86.49 1
0.1%
94.05 1
0.1%
ValueCountFrequency (%)
1015.2 1
0.1%
563.85 1
0.1%
538.2 1
0.1%
507.33 1
0.1%
430.92 1
0.1%

p_sat_kr1
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing997
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean10.48680192
Minimum0
Maximum17.8351
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:16.321554image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.514915
Q17.8392475
median10.60325
Q312.6813
95-th percentile17.103375
Maximum17.8351
Range17.8351
Interquartile range (IQR)4.8420525

Descriptive statistics

Standard deviation4.052108876
Coefficient of variation (CV)0.3864008213
Kurtosis0.5889984375
Mean10.48680192
Median Absolute Deviation (MAD)2.2723
Skewness-0.3719573153
Sum272.65685
Variance16.41958634
MonotonicityNot monotonic
2024-05-04T15:25:16.501758image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
5.79378 1
 
0.1%
9.73544 1
 
0.1%
7.59336 1
 
0.1%
13.0215 1
 
0.1%
9.94487 1
 
0.1%
10.8039 1
 
0.1%
11.9893 1
 
0.1%
10.4026 1
 
0.1%
5.42196 1
 
0.1%
0 1
 
0.1%
Other values (16) 16
 
1.6%
(Missing) 997
97.5%
ValueCountFrequency (%)
0 1
0.1%
5.42196 1
0.1%
5.79378 1
0.1%
5.87154 1
0.1%
5.97793 1
0.1%
ValueCountFrequency (%)
17.8351 1
0.1%
17.747 1
0.1%
15.1725 1
0.1%
15.0992 1
0.1%
13.6995 1
0.1%

p_sat_kr2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean10.82255737
Minimum4.87264
Maximum38.2783
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:16.676820image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.87264
5-th percentile5.944626
Q17.90296
median9.92166
Q312.6135
95-th percentile16.13506
Maximum38.2783
Range33.40566
Interquartile range (IQR)4.71054

Descriptive statistics

Standard deviation4.918445929
Coefficient of variation (CV)0.4544624493
Kurtosis16.59129018
Mean10.82255737
Median Absolute Deviation (MAD)2.43284
Skewness3.188053398
Sum616.88577
Variance24.19111036
MonotonicityNot monotonic
2024-05-04T15:25:16.864007image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.96082 1
 
0.1%
14.0847 1
 
0.1%
11.4146 1
 
0.1%
12.4864 1
 
0.1%
16.3741 1
 
0.1%
5.51929 1
 
0.1%
11.7223 1
 
0.1%
7.6308 1
 
0.1%
9.55755 1
 
0.1%
8.25376 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 966
94.4%
ValueCountFrequency (%)
4.87264 1
0.1%
4.93937 1
0.1%
5.51929 1
0.1%
6.05096 1
0.1%
6.1326 1
0.1%
ValueCountFrequency (%)
38.2783 1
0.1%
18.0509 1
0.1%
16.3741 1
0.1%
16.0753 1
0.1%
16.0225 1
0.1%

p_sat_kffq
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean9.746819531
Minimum3.02508
Maximum35.3839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:17.057388image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.02508
5-th percentile5.5582745
Q17.025845
median8.9745
Q311.163375
95-th percentile15.31048
Maximum35.3839
Range32.35882
Interquartile range (IQR)4.13753

Descriptive statistics

Standard deviation4.365849978
Coefficient of variation (CV)0.4479255991
Kurtosis18.28599166
Mean9.746819531
Median Absolute Deviation (MAD)2.10018
Skewness3.385556748
Sum623.79645
Variance19.06064603
MonotonicityNot monotonic
2024-05-04T15:25:17.245992image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.9409 1
 
0.1%
8.58352 1
 
0.1%
7.26429 1
 
0.1%
12.8574 1
 
0.1%
9.85911 1
 
0.1%
7.65886 1
 
0.1%
13.2378 1
 
0.1%
11.3438 1
 
0.1%
12.648 1
 
0.1%
6.81395 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
3.02508 1
0.1%
5.01637 1
0.1%
5.03442 1
0.1%
5.52497 1
0.1%
5.747 1
0.1%
ValueCountFrequency (%)
35.3839 1
0.1%
18.11 1
0.1%
15.6399 1
0.1%
15.3757 1
0.1%
14.9409 1
0.1%

ev_sat_kr1
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)7.7%
Missing997
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean0.8076923077
Minimum0
Maximum1
Zeros5
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:17.396399image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4019184762
Coefficient of variation (CV)0.4976133515
Kurtosis0.8074534161
Mean0.8076923077
Median Absolute Deviation (MAD)0
Skewness-1.658711172
Sum21
Variance0.1615384615
MonotonicityNot monotonic
2024-05-04T15:25:17.532913image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 21
 
2.1%
0 5
 
0.5%
(Missing) 997
97.5%
ValueCountFrequency (%)
0 5
 
0.5%
1 21
2.1%
ValueCountFrequency (%)
1 21
2.1%
0 5
 
0.5%

ev_sat_kr2
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)3.5%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.8771929825
Minimum0
Maximum1
Zeros7
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:17.660819image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3311330893
Coefficient of variation (CV)0.3774917218
Kurtosis3.703272727
Mean0.8771929825
Median Absolute Deviation (MAD)0
Skewness-2.361039132
Sum50
Variance0.1096491228
MonotonicityNot monotonic
2024-05-04T15:25:17.792591image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 50
 
4.9%
0 7
 
0.7%
(Missing) 966
94.4%
ValueCountFrequency (%)
0 7
 
0.7%
1 50
4.9%
ValueCountFrequency (%)
1 50
4.9%
0 7
 
0.7%

ev_sat_kffq
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)3.1%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.890625
Minimum0
Maximum1
Zeros7
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:17.926487image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3145764348
Coefficient of variation (CV)0.3532086286
Kurtosis4.718639539
Mean0.890625
Median Absolute Deviation (MAD)0
Skewness-2.563611014
Sum57
Variance0.09895833333
MonotonicityNot monotonic
2024-05-04T15:25:18.075582image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 57
 
5.6%
0 7
 
0.7%
(Missing) 959
93.7%
ValueCountFrequency (%)
0 7
 
0.7%
1 57
5.6%
ValueCountFrequency (%)
1 57
5.6%
0 7
 
0.7%

col_kr1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean152.8863517
Minimum0
Maximum284.684
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:18.216001image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59.40522
Q197.2875
median139.084
Q3211.745
95-th percentile265.2594
Maximum284.684
Range284.684
Interquartile range (IQR)114.4575

Descriptive statistics

Standard deviation73.47448926
Coefficient of variation (CV)0.4805823962
Kurtosis-0.7792030195
Mean152.8863517
Median Absolute Deviation (MAD)55.0005
Skewness0.08673916664
Sum4433.7042
Variance5398.500572
MonotonicityNot monotonic
2024-05-04T15:25:18.368956image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
240.177 1
 
0.1%
185.598 1
 
0.1%
192.046 1
 
0.1%
217.982 1
 
0.1%
130.7 1
 
0.1%
265.647 1
 
0.1%
104.273 1
 
0.1%
166.973 1
 
0.1%
139.084 1
 
0.1%
211.745 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
0 1
0.1%
51.8257 1
0.1%
70.7745 1
0.1%
75.431 1
0.1%
77.435 1
0.1%
ValueCountFrequency (%)
284.684 1
0.1%
265.647 1
0.1%
264.678 1
0.1%
260.79 1
0.1%
240.177 1
0.1%

col_kr2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean147.1022018
Minimum36.9269
Maximum515.183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:18.538161image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum36.9269
5-th percentile62.55568
Q185.6838
median120.147
Q3175.152
95-th percentile323.1172
Maximum515.183
Range478.2561
Interquartile range (IQR)89.4682

Descriptive statistics

Standard deviation93.66598921
Coefficient of variation (CV)0.6367409059
Kurtosis4.24613663
Mean147.1022018
Median Absolute Deviation (MAD)41.354
Skewness1.937212806
Sum8384.8255
Variance8773.317534
MonotonicityNot monotonic
2024-05-04T15:25:18.727371image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.8654 1
 
0.1%
148.753 1
 
0.1%
175.152 1
 
0.1%
76.5356 1
 
0.1%
122.891 1
 
0.1%
515.183 1
 
0.1%
391.894 1
 
0.1%
36.9269 1
 
0.1%
76.2637 1
 
0.1%
87.7411 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 966
94.4%
ValueCountFrequency (%)
36.9269 1
0.1%
54.2748 1
0.1%
56.3736 1
0.1%
64.1012 1
0.1%
65.6337 1
0.1%
ValueCountFrequency (%)
515.183 1
0.1%
401.162 1
0.1%
391.894 1
0.1%
305.923 1
0.1%
305.563 1
0.1%

col_kffq
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)100.0%
Missing960
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean144.7777413
Minimum45.5827
Maximum301.409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:18.911315image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum45.5827
5-th percentile77.64567
Q1112.174
median127.139
Q3172.0055
95-th percentile247.2425
Maximum301.409
Range255.8263
Interquartile range (IQR)59.8315

Descriptive statistics

Standard deviation56.27664222
Coefficient of variation (CV)0.3887105969
Kurtosis0.5997513632
Mean144.7777413
Median Absolute Deviation (MAD)28.998
Skewness0.9329224238
Sum9120.9977
Variance3167.06046
MonotonicityNot monotonic
2024-05-04T15:25:19.100666image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.1756 1
 
0.1%
127.579 1
 
0.1%
171.921 1
 
0.1%
211.768 1
 
0.1%
137.929 1
 
0.1%
206.504 1
 
0.1%
230.177 1
 
0.1%
142.773 1
 
0.1%
99.6065 1
 
0.1%
125.435 1
 
0.1%
Other values (53) 53
 
5.2%
(Missing) 960
93.8%
ValueCountFrequency (%)
45.5827 1
0.1%
59.4978 1
0.1%
64.2776 1
0.1%
77.3325 1
0.1%
80.4642 1
0.1%
ValueCountFrequency (%)
301.409 1
0.1%
290.269 1
0.1%
281.726 1
0.1%
247.485 1
0.1%
245.06 1
0.1%

ev_col_kr1
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)6.9%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean0.5862068966
Minimum0
Maximum1
Zeros12
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:19.246614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5012300142
Coefficient of variation (CV)0.8550394359
Kurtosis-2.007206301
Mean0.5862068966
Median Absolute Deviation (MAD)0
Skewness-0.3694614847
Sum17
Variance0.2512315271
MonotonicityNot monotonic
2024-05-04T15:25:19.405850image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 17
 
1.7%
0 12
 
1.2%
(Missing) 994
97.2%
ValueCountFrequency (%)
0 12
1.2%
1 17
1.7%
ValueCountFrequency (%)
1 17
1.7%
0 12
1.2%

ev_col_kr2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.5%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.350877193
Minimum0
Maximum1
Zeros37
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:19.544523image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4814868367
Coefficient of variation (CV)1.372237485
Kurtosis-1.646977887
Mean0.350877193
Median Absolute Deviation (MAD)0
Skewness0.6419509019
Sum20
Variance0.2318295739
MonotonicityNot monotonic
2024-05-04T15:25:19.679182image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 37
 
3.6%
1 20
 
2.0%
(Missing) 966
94.4%
ValueCountFrequency (%)
0 37
3.6%
1 20
2.0%
ValueCountFrequency (%)
1 20
2.0%
0 37
3.6%

ev_col_kffq
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.2%
Missing960
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean0.4444444444
Minimum0
Maximum1
Zeros35
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:20.287671image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5008952559
Coefficient of variation (CV)1.127014326
Kurtosis-2.012459016
Mean0.4444444444
Median Absolute Deviation (MAD)0
Skewness0.2290979941
Sum28
Variance0.2508960573
MonotonicityNot monotonic
2024-05-04T15:25:20.418483image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 35
 
3.4%
1 28
 
2.7%
(Missing) 960
93.8%
ValueCountFrequency (%)
0 35
3.4%
1 28
2.7%
ValueCountFrequency (%)
1 28
2.7%
0 35
3.4%

az_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean118.9672414
Minimum61.21
Maximum252.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:20.577579image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum61.21
5-th percentile67.53
Q182.08
median110.44
Q3137.27
95-th percentile209.652
Maximum252.21
Range191
Interquartile range (IQR)55.19

Descriptive statistics

Standard deviation48.14384206
Coefficient of variation (CV)0.4046815031
Kurtosis1.003698358
Mean118.9672414
Median Absolute Deviation (MAD)28.36
Skewness1.127499542
Sum3450.05
Variance2317.829528
MonotonicityNot monotonic
2024-05-04T15:25:20.743541image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
136.59 1
 
0.1%
110.44 1
 
0.1%
103.43 1
 
0.1%
75.91 1
 
0.1%
95.71 1
 
0.1%
172.26 1
 
0.1%
132.87 1
 
0.1%
72.37 1
 
0.1%
176.83 1
 
0.1%
71.52 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
61.21 1
0.1%
64.87 1
0.1%
71.52 1
0.1%
72.37 1
0.1%
75.27 1
0.1%
ValueCountFrequency (%)
252.21 1
0.1%
224.66 1
0.1%
187.14 1
0.1%
176.83 1
0.1%
172.26 1
0.1%

az_r2
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)100.0%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean146.8552542
Minimum16.64
Maximum393.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:20.934383image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum16.64
5-th percentile59.899
Q187.44
median134.6
Q3194.03
95-th percentile282.032
Maximum393.82
Range377.18
Interquartile range (IQR)106.59

Descriptive statistics

Standard deviation79.90200369
Coefficient of variation (CV)0.5440867888
Kurtosis0.7723165781
Mean146.8552542
Median Absolute Deviation (MAD)49.21
Skewness0.9721064257
Sum8664.46
Variance6384.330194
MonotonicityNot monotonic
2024-05-04T15:25:21.152780image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105.08 1
 
0.1%
158.5 1
 
0.1%
66.04 1
 
0.1%
255.04 1
 
0.1%
94.49 1
 
0.1%
144.48 1
 
0.1%
83.65 1
 
0.1%
280.31 1
 
0.1%
212.9 1
 
0.1%
267.76 1
 
0.1%
Other values (49) 49
 
4.8%
(Missing) 964
94.2%
ValueCountFrequency (%)
16.64 1
0.1%
27.5 1
0.1%
54.04 1
0.1%
60.55 1
0.1%
63.48 1
0.1%
ValueCountFrequency (%)
393.82 1
0.1%
357.24 1
0.1%
297.53 1
0.1%
280.31 1
0.1%
267.76 1
0.1%

az_ffq
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean164.727875
Minimum15.4
Maximum402.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:21.358746image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum15.4
5-th percentile54.787
Q192.6075
median148.195
Q3214.465
95-th percentile347.661
Maximum402.41
Range387.01
Interquartile range (IQR)121.8575

Descriptive statistics

Standard deviation90.09705915
Coefficient of variation (CV)0.5469448273
Kurtosis0.1234614589
Mean164.727875
Median Absolute Deviation (MAD)61.83
Skewness0.7926168096
Sum10542.584
Variance8117.480067
MonotonicityNot monotonic
2024-05-04T15:25:21.556529image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
290.65 1
 
0.1%
183.16 1
 
0.1%
200.39 1
 
0.1%
71.69 1
 
0.1%
238.4 1
 
0.1%
120.11 1
 
0.1%
169.51 1
 
0.1%
107.06 1
 
0.1%
122.58 1
 
0.1%
201.25 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
15.4 1
0.1%
46.56 1
0.1%
50.99 1
0.1%
54.25 1
0.1%
57.83 1
0.1%
ValueCountFrequency (%)
402.41 1
0.1%
391.7 1
0.1%
347.9 1
0.1%
347.76 1
0.1%
347.1 1
0.1%

az_kcal_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean475.8689655
Minimum244.84
Maximum1008.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:21.733568image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum244.84
5-th percentile270.12
Q1328.32
median441.76
Q3549.08
95-th percentile838.608
Maximum1008.84
Range764
Interquartile range (IQR)220.76

Descriptive statistics

Standard deviation192.5753682
Coefficient of variation (CV)0.4046815031
Kurtosis1.003698358
Mean475.8689655
Median Absolute Deviation (MAD)113.44
Skewness1.127499542
Sum13800.2
Variance37085.27245
MonotonicityNot monotonic
2024-05-04T15:25:21.903039image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
546.36 1
 
0.1%
441.76 1
 
0.1%
413.72 1
 
0.1%
303.64 1
 
0.1%
382.84 1
 
0.1%
689.04 1
 
0.1%
531.48 1
 
0.1%
289.48 1
 
0.1%
707.32 1
 
0.1%
286.08 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
244.84 1
0.1%
259.48 1
0.1%
286.08 1
0.1%
289.48 1
0.1%
301.08 1
0.1%
ValueCountFrequency (%)
1008.84 1
0.1%
898.64 1
0.1%
748.56 1
0.1%
707.32 1
0.1%
689.04 1
0.1%

az_kcal_r2
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)100.0%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean587.4210169
Minimum66.56
Maximum1575.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:22.085232image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum66.56
5-th percentile239.596
Q1349.76
median538.4
Q3776.12
95-th percentile1128.128
Maximum1575.28
Range1508.72
Interquartile range (IQR)426.36

Descriptive statistics

Standard deviation319.6080148
Coefficient of variation (CV)0.5440867888
Kurtosis0.7723165781
Mean587.4210169
Median Absolute Deviation (MAD)196.84
Skewness0.9721064257
Sum34657.84
Variance102149.2831
MonotonicityNot monotonic
2024-05-04T15:25:22.282159image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
420.32 1
 
0.1%
634 1
 
0.1%
264.16 1
 
0.1%
1020.16 1
 
0.1%
377.96 1
 
0.1%
577.92 1
 
0.1%
334.6 1
 
0.1%
1121.24 1
 
0.1%
851.6 1
 
0.1%
1071.04 1
 
0.1%
Other values (49) 49
 
4.8%
(Missing) 964
94.2%
ValueCountFrequency (%)
66.56 1
0.1%
110 1
0.1%
216.16 1
0.1%
242.2 1
0.1%
253.92 1
0.1%
ValueCountFrequency (%)
1575.28 1
0.1%
1428.96 1
0.1%
1190.12 1
0.1%
1121.24 1
0.1%
1071.04 1
0.1%

az_kcal_ffq
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean658.9115
Minimum61.6
Maximum1609.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:22.473125image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum61.6
5-th percentile219.148
Q1370.43
median592.78
Q3857.86
95-th percentile1390.644
Maximum1609.64
Range1548.04
Interquartile range (IQR)487.43

Descriptive statistics

Standard deviation360.3882366
Coefficient of variation (CV)0.5469448273
Kurtosis0.1234614589
Mean658.9115
Median Absolute Deviation (MAD)247.32
Skewness0.7926168096
Sum42170.336
Variance129879.6811
MonotonicityNot monotonic
2024-05-04T15:25:22.656919image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1162.6 1
 
0.1%
732.64 1
 
0.1%
801.56 1
 
0.1%
286.76 1
 
0.1%
953.6 1
 
0.1%
480.44 1
 
0.1%
678.04 1
 
0.1%
428.24 1
 
0.1%
490.32 1
 
0.1%
805 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
61.6 1
0.1%
186.24 1
0.1%
203.96 1
0.1%
217 1
0.1%
231.32 1
0.1%
ValueCountFrequency (%)
1609.64 1
0.1%
1566.8 1
0.1%
1391.6 1
0.1%
1391.04 1
0.1%
1388.4 1
0.1%

az_porc_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean28.35678966
Minimum17.2348
Maximum46.5093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:22.831214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum17.2348
5-th percentile18.05776
Q120.3802
median27.2652
Q333.0316
95-th percentile45.65142
Maximum46.5093
Range29.2745
Interquartile range (IQR)12.6514

Descriptive statistics

Standard deviation9.208282439
Coefficient of variation (CV)0.32472937
Kurtosis-0.6381765851
Mean28.35678966
Median Absolute Deviation (MAD)6.885
Skewness0.7250197062
Sum822.3469
Variance84.79246547
MonotonicityNot monotonic
2024-05-04T15:25:22.991884image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
45.2337 1
 
0.1%
19.0811 1
 
0.1%
20.0685 1
 
0.1%
17.5468 1
 
0.1%
19.5726 1
 
0.1%
33.0316 1
 
0.1%
27.2652 1
 
0.1%
25.8464 1
 
0.1%
45.9299 1
 
0.1%
18.8242 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
17.2348 1
0.1%
17.5468 1
0.1%
18.8242 1
0.1%
19.0235 1
0.1%
19.0811 1
0.1%
ValueCountFrequency (%)
46.5093 1
0.1%
45.9299 1
0.1%
45.2337 1
0.1%
42.7295 1
0.1%
41.101 1
0.1%

az_porc_r2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean30.3887507
Minimum4.78698
Maximum71.1041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:23.159780image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.78698
5-th percentile12.37418
Q121.7233
median28.0855
Q337.3848
95-th percentile55.53802
Maximum71.1041
Range66.31712
Interquartile range (IQR)15.6615

Descriptive statistics

Standard deviation13.79390683
Coefficient of variation (CV)0.4539149032
Kurtosis0.6914640331
Mean30.3887507
Median Absolute Deviation (MAD)8.3449
Skewness0.7398826908
Sum1732.15879
Variance190.2718658
MonotonicityNot monotonic
2024-05-04T15:25:23.342031image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.8683 1
 
0.1%
32.9029 1
 
0.1%
26.6081 1
 
0.1%
34.7382 1
 
0.1%
28.9957 1
 
0.1%
37.3848 1
 
0.1%
40.8424 1
 
0.1%
71.1041 1
 
0.1%
56.9853 1
 
0.1%
43.9872 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 966
94.4%
ValueCountFrequency (%)
4.78698 1
0.1%
6.13061 1
0.1%
11.2581 1
0.1%
12.6532 1
0.1%
12.675 1
0.1%
ValueCountFrequency (%)
71.1041 1
0.1%
65.1898 1
0.1%
56.9853 1
0.1%
55.1762 1
0.1%
49.2394 1
0.1%

az_porc_ffq
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean27.48209
Minimum4.83581
Maximum60.0779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:23.522325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.83581
5-th percentile10.54257
Q119.262125
median26.17985
Q333.797
95-th percentile46.593715
Maximum60.0779
Range55.24209
Interquartile range (IQR)14.534875

Descriptive statistics

Standard deviation11.33417822
Coefficient of variation (CV)0.4124205336
Kurtosis0.119608002
Mean27.48209
Median Absolute Deviation (MAD)7.41215
Skewness0.5023618261
Sum1758.85376
Variance128.4635959
MonotonicityNot monotonic
2024-05-04T15:25:23.696872image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.7095 1
 
0.1%
22.4674 1
 
0.1%
28.1783 1
 
0.1%
28.0593 1
 
0.1%
33.5893 1
 
0.1%
42.5439 1
 
0.1%
23.1019 1
 
0.1%
15.4704 1
 
0.1%
45.9376 1
 
0.1%
35.3932 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
4.83581 1
0.1%
9.55205 1
0.1%
10.2081 1
0.1%
10.4319 1
0.1%
11.1697 1
0.1%
ValueCountFrequency (%)
60.0779 1
0.1%
52.5709 1
0.1%
48.2262 1
0.1%
46.7095 1
0.1%
45.9376 1
0.1%

ev_az_r1
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)3.4%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:23.844072image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum29
Variance0
MonotonicityIncreasing
2024-05-04T15:25:23.974543image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 29
 
2.8%
(Missing) 994
97.2%
ValueCountFrequency (%)
1 29
2.8%
ValueCountFrequency (%)
1 29
2.8%

ev_az_r2
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)3.5%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.9649122807
Minimum0
Maximum1
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:24.123501image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1856371538
Coefficient of variation (CV)0.1923875958
Kurtosis25.85256198
Mean0.9649122807
Median Absolute Deviation (MAD)0
Skewness-5.19096713
Sum55
Variance0.03446115288
MonotonicityNot monotonic
2024-05-04T15:25:24.293772image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 55
 
5.4%
0 2
 
0.2%
(Missing) 966
94.4%
ValueCountFrequency (%)
0 2
 
0.2%
1 55
5.4%
ValueCountFrequency (%)
1 55
5.4%
0 2
 
0.2%

ev_az_ffq
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)3.2%
Missing960
Missing (%)93.8%
Infinite0
Infinite (%)0.0%
Mean0.9841269841
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:24.418277image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1259881577
Coefficient of variation (CV)0.1280202247
Kurtosis63
Mean0.9841269841
Median Absolute Deviation (MAD)0
Skewness-7.937253933
Sum62
Variance0.01587301587
MonotonicityNot monotonic
2024-05-04T15:25:24.553481image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 62
 
6.1%
0 1
 
0.1%
(Missing) 960
93.8%
ValueCountFrequency (%)
0 1
 
0.1%
1 62
6.1%
ValueCountFrequency (%)
1 62
6.1%
0 1
 
0.1%

fibra_kr1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean10.83123345
Minimum5.08388
Maximum21.4683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:24.699235image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.08388
5-th percentile5.635242
Q18.19413
median9.98703
Q313.5065
95-th percentile16.73652
Maximum21.4683
Range16.38442
Interquartile range (IQR)5.31237

Descriptive statistics

Standard deviation3.833388936
Coefficient of variation (CV)0.3539198886
Kurtosis0.6596303355
Mean10.83123345
Median Absolute Deviation (MAD)2.44467
Skewness0.7648603577
Sum314.10577
Variance14.69487073
MonotonicityNot monotonic
2024-05-04T15:25:24.862246image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
15.6144 1
 
0.1%
6.87207 1
 
0.1%
9.60932 1
 
0.1%
21.4683 1
 
0.1%
6.18609 1
 
0.1%
6.38543 1
 
0.1%
5.08388 1
 
0.1%
10.6607 1
 
0.1%
13.5065 1
 
0.1%
8.71854 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
5.08388 1
0.1%
5.26801 1
0.1%
6.18609 1
0.1%
6.38543 1
0.1%
6.87207 1
0.1%
ValueCountFrequency (%)
21.4683 1
0.1%
17.4846 1
0.1%
15.6144 1
0.1%
15.4564 1
0.1%
14.4412 1
0.1%

fibra_kr2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean11.25358211
Minimum2.20513
Maximum38.861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:25.037635image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.20513
5-th percentile5.48952
Q17.44573
median9.17979
Q313.2939
95-th percentile21.28628
Maximum38.861
Range36.65587
Interquartile range (IQR)5.84817

Descriptive statistics

Standard deviation6.21853963
Coefficient of variation (CV)0.5525831305
Kurtosis6.270473039
Mean11.25358211
Median Absolute Deviation (MAD)2.77405
Skewness2.083666161
Sum641.45418
Variance38.67023512
MonotonicityNot monotonic
2024-05-04T15:25:25.232053image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.4696 1
 
0.1%
9.17979 1
 
0.1%
11.3441 1
 
0.1%
16.5696 1
 
0.1%
5.9972 1
 
0.1%
16.7952 1
 
0.1%
9.47703 1
 
0.1%
38.861 1
 
0.1%
10.2648 1
 
0.1%
9.17495 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 966
94.4%
ValueCountFrequency (%)
2.20513 1
0.1%
4.35764 1
0.1%
5.17088 1
0.1%
5.56918 1
0.1%
5.9972 1
0.1%
ValueCountFrequency (%)
38.861 1
0.1%
26.6095 1
0.1%
24.7978 1
0.1%
20.4084 1
0.1%
19.5238 1
0.1%

fibra_kffq
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean15.90270297
Minimum3.48211
Maximum51.5893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:25.417302image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.48211
5-th percentile8.63263
Q111.172875
median14.67705
Q318.60285
95-th percentile24.81875
Maximum51.5893
Range48.10719
Interquartile range (IQR)7.429975

Descriptive statistics

Standard deviation7.030527676
Coefficient of variation (CV)0.4420963965
Kurtosis9.741348506
Mean15.90270297
Median Absolute Deviation (MAD)3.61655
Skewness2.301815631
Sum1017.77299
Variance49.42831941
MonotonicityNot monotonic
2024-05-04T15:25:25.595860image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.6255 1
 
0.1%
16.9156 1
 
0.1%
16.9831 1
 
0.1%
17.8086 1
 
0.1%
14.5016 1
 
0.1%
21.8989 1
 
0.1%
3.48211 1
 
0.1%
10.2199 1
 
0.1%
19.8059 1
 
0.1%
12.3766 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
3.48211 1
0.1%
7.39889 1
0.1%
8.1728 1
0.1%
8.58571 1
0.1%
8.89851 1
0.1%
ValueCountFrequency (%)
51.5893 1
0.1%
33.1114 1
0.1%
27.6255 1
0.1%
24.9329 1
0.1%
24.1719 1
0.1%

ev_fibra_kr1
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)3.4%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros29
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:25.731888image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-05-04T15:25:25.855824image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 29
 
2.8%
(Missing) 994
97.2%
ValueCountFrequency (%)
0 29
2.8%
ValueCountFrequency (%)
0 29
2.8%

ev_fibra_kr2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.5%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.01754385965
Minimum0
Maximum1
Zeros56
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:25.985613image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1324532357
Coefficient of variation (CV)7.549834435
Kurtosis57
Mean0.01754385965
Median Absolute Deviation (MAD)0
Skewness7.549834435
Sum1
Variance0.01754385965
MonotonicityNot monotonic
2024-05-04T15:25:26.129058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 56
 
5.5%
1 1
 
0.1%
(Missing) 966
94.4%
ValueCountFrequency (%)
0 56
5.5%
1 1
 
0.1%
ValueCountFrequency (%)
1 1
 
0.1%
0 56
5.5%

ev_fibra_kffq
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.1%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.03125
Minimum0
Maximum1
Zeros62
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:26.267594image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1753680936
Coefficient of variation (CV)5.611778995
Kurtosis29.36940687
Mean0.03125
Median Absolute Deviation (MAD)0
Skewness5.518346671
Sum2
Variance0.03075396825
MonotonicityNot monotonic
2024-05-04T15:25:26.406209image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 62
 
6.1%
1 2
 
0.2%
(Missing) 959
93.7%
ValueCountFrequency (%)
0 62
6.1%
1 2
 
0.2%
ValueCountFrequency (%)
1 2
 
0.2%
0 62
6.1%

ratio_fins_fsol_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean2.872524828
Minimum1.46622
Maximum8.77193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:26.551263image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.46622
5-th percentile1.537126
Q11.84127
median2.56731
Q33.65734
95-th percentile4.224058
Maximum8.77193
Range7.30571
Interquartile range (IQR)1.81607

Descriptive statistics

Standard deviation1.447356039
Coefficient of variation (CV)0.5038619772
Kurtosis9.181630349
Mean2.872524828
Median Absolute Deviation (MAD)0.85971
Skewness2.494686593
Sum83.30322
Variance2.094839504
MonotonicityNot monotonic
2024-05-04T15:25:26.719442image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2.08042 1
 
0.1%
2.56731 1
 
0.1%
2.1552 1
 
0.1%
3.78218 1
 
0.1%
3.67317 1
 
0.1%
1.84127 1
 
0.1%
1.52417 1
 
0.1%
2.85321 1
 
0.1%
3.56571 1
 
0.1%
2.66182 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
1.46622 1
0.1%
1.52417 1
0.1%
1.55656 1
0.1%
1.62019 1
0.1%
1.7076 1
0.1%
ValueCountFrequency (%)
8.77193 1
0.1%
4.30827 1
0.1%
4.09774 1
0.1%
3.93898 1
0.1%
3.80534 1
0.1%

ratio_fins_fsol_r2
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)98.3%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean2.604137833
Minimum1.14966
Maximum7.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:26.897178image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.14966
5-th percentile1.3730775
Q11.9450975
median2.313875
Q32.95283
95-th percentile4.91971
Maximum7.12
Range5.97034
Interquartile range (IQR)1.0077325

Descriptive statistics

Standard deviation1.140603808
Coefficient of variation (CV)0.4379967118
Kurtosis4.256572572
Mean2.604137833
Median Absolute Deviation (MAD)0.506665
Skewness1.850678787
Sum156.24827
Variance1.300977047
MonotonicityNot monotonic
2024-05-04T15:25:27.079904image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.91971 2
 
0.2%
1.97579 1
 
0.1%
2.07143 1
 
0.1%
1.72919 1
 
0.1%
2.51744 1
 
0.1%
1.37649 1
 
0.1%
3.08414 1
 
0.1%
1.46622 1
 
0.1%
1.71892 1
 
0.1%
2.64647 1
 
0.1%
Other values (49) 49
 
4.8%
(Missing) 963
94.1%
ValueCountFrequency (%)
1.14966 1
0.1%
1.28881 1
0.1%
1.30824 1
0.1%
1.37649 1
0.1%
1.4083 1
0.1%
ValueCountFrequency (%)
7.12 1
0.1%
6.032 1
0.1%
4.91971 2
0.2%
4.58242 1
0.1%
4.47536 1
0.1%

ratio_fins_fsol_ffq
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)98.5%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean2.528052308
Minimum1.16603
Maximum3.85952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:27.262034image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.16603
5-th percentile1.713642
Q12.04721
median2.44928
Q32.94595
95-th percentile3.576494
Maximum3.85952
Range2.69349
Interquartile range (IQR)0.89874

Descriptive statistics

Standard deviation0.6186443143
Coefficient of variation (CV)0.2447118331
Kurtosis-0.5757765457
Mean2.528052308
Median Absolute Deviation (MAD)0.4547
Skewness0.3561201121
Sum164.3234
Variance0.3827207876
MonotonicityNot monotonic
2024-05-04T15:25:27.445695image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.78906 2
 
0.2%
2.09158 1
 
0.1%
3.08455 1
 
0.1%
2.59003 1
 
0.1%
1.97989 1
 
0.1%
2.22222 1
 
0.1%
1.52444 1
 
0.1%
2.42672 1
 
0.1%
2.78062 1
 
0.1%
2.97783 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 958
93.6%
ValueCountFrequency (%)
1.16603 1
0.1%
1.52444 1
0.1%
1.64456 1
0.1%
1.70448 1
0.1%
1.75029 1
0.1%
ValueCountFrequency (%)
3.85952 1
0.1%
3.85451 1
0.1%
3.66061 1
0.1%
3.58048 1
0.1%
3.56055 1
0.1%

ev_ratio_r1
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)6.9%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean0.3448275862
Minimum0
Maximum1
Zeros19
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:27.592853image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4837252813
Coefficient of variation (CV)1.402803316
Kurtosis-1.643724696
Mean0.3448275862
Median Absolute Deviation (MAD)0
Skewness0.6890963657
Sum10
Variance0.2339901478
MonotonicityNot monotonic
2024-05-04T15:25:27.726654image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 19
 
1.9%
1 10
 
1.0%
(Missing) 994
97.2%
ValueCountFrequency (%)
0 19
1.9%
1 10
1.0%
ValueCountFrequency (%)
1 10
1.0%
0 19
1.9%

ev_ratio_r2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.3%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean0.25
Minimum0
Maximum1
Zeros45
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:27.861253image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.25
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4366668823
Coefficient of variation (CV)1.746667529
Kurtosis-0.6186731196
Mean0.25
Median Absolute Deviation (MAD)0
Skewness1.184521658
Sum15
Variance0.1906779661
MonotonicityNot monotonic
2024-05-04T15:25:27.997005image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
 
4.4%
1 15
 
1.5%
(Missing) 963
94.1%
ValueCountFrequency (%)
0 45
4.4%
1 15
 
1.5%
ValueCountFrequency (%)
1 15
 
1.5%
0 45
4.4%

ev_ratio_ffq
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.1%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean0.2307692308
Minimum0
Maximum1
Zeros50
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:28.124363image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4246038878
Coefficient of variation (CV)1.83995018
Kurtosis-0.2982078853
Mean0.2307692308
Median Absolute Deviation (MAD)0
Skewness1.308409017
Sum15
Variance0.1802884615
MonotonicityNot monotonic
2024-05-04T15:25:28.259523image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 50
 
4.9%
1 15
 
1.5%
(Missing) 958
93.6%
ValueCountFrequency (%)
0 50
4.9%
1 15
 
1.5%
ValueCountFrequency (%)
1 15
 
1.5%
0 50
4.9%

adec_r1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing995
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean107.6055036
Minimum52.0406
Maximum177.718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:28.406096image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum52.0406
5-th percentile57.529135
Q179.0159
median104.678
Q3132.45675
95-th percentile160.10485
Maximum177.718
Range125.6774
Interquartile range (IQR)53.44085

Descriptive statistics

Standard deviation35.06655994
Coefficient of variation (CV)0.325880729
Kurtosis-0.91165639
Mean107.6055036
Median Absolute Deviation (MAD)26.88375
Skewness0.1965645542
Sum3012.9541
Variance1229.663626
MonotonicityNot monotonic
2024-05-04T15:25:28.577025image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
70.4535 1
 
0.1%
128.467 1
 
0.1%
148.554 1
 
0.1%
102.022 1
 
0.1%
122.337 1
 
0.1%
140.546 1
 
0.1%
129.778 1
 
0.1%
102.406 1
 
0.1%
80.0177 1
 
0.1%
62.5322 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 995
97.3%
ValueCountFrequency (%)
52.0406 1
0.1%
56.8459 1
0.1%
58.798 1
0.1%
62.5322 1
0.1%
70.4535 1
0.1%
ValueCountFrequency (%)
177.718 1
0.1%
160.283 1
0.1%
159.774 1
0.1%
152.449 1
0.1%
148.554 1
0.1%

ev_adec_r1
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)10.7%
Missing995
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean1.107142857
Minimum0
Maximum2
Zeros10
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:28.717244image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9164862737
Coefficient of variation (CV)0.8277940537
Kurtosis-1.837414919
Mean1.107142857
Median Absolute Deviation (MAD)1
Skewness-0.2240405654
Sum31
Variance0.8399470899
MonotonicityNot monotonic
2024-05-04T15:25:28.859139image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 13
 
1.3%
0 10
 
1.0%
1 5
 
0.5%
(Missing) 995
97.3%
ValueCountFrequency (%)
0 10
1.0%
1 5
 
0.5%
2 13
1.3%
ValueCountFrequency (%)
2 13
1.3%
1 5
 
0.5%
0 10
1.0%

adec_r2
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)100.0%
Missing969
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean119.3881833
Minimum43.1947
Maximum222.038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:29.032741image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum43.1947
5-th percentile60.210205
Q193.7315
median115.6125
Q3148.70625
95-th percentile188.4906
Maximum222.038
Range178.8433
Interquartile range (IQR)54.97475

Descriptive statistics

Standard deviation39.49928009
Coefficient of variation (CV)0.3308474842
Kurtosis-0.2337699981
Mean119.3881833
Median Absolute Deviation (MAD)26.6191
Skewness0.3560543327
Sum6446.9619
Variance1560.193128
MonotonicityNot monotonic
2024-05-04T15:25:29.699032image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113.132 1
 
0.1%
88.918 1
 
0.1%
159.296 1
 
0.1%
43.1947 1
 
0.1%
222.038 1
 
0.1%
52.894 1
 
0.1%
83.0633 1
 
0.1%
103.07 1
 
0.1%
95.9035 1
 
0.1%
73.2639 1
 
0.1%
Other values (44) 44
 
4.3%
(Missing) 969
94.7%
ValueCountFrequency (%)
43.1947 1
0.1%
52.1812 1
0.1%
52.894 1
0.1%
64.1497 1
0.1%
67.215 1
0.1%
ValueCountFrequency (%)
222.038 1
0.1%
196.964 1
0.1%
188.579 1
0.1%
188.443 1
0.1%
175.18 1
0.1%

ev_adec_r2
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)5.6%
Missing969
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean1.333333333
Minimum0
Maximum2
Zeros12
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:29.852475image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8241633837
Coefficient of variation (CV)0.6181225378
Kurtosis-1.162456008
Mean1.333333333
Median Absolute Deviation (MAD)0
Skewness-0.7000105663
Sum72
Variance0.679245283
MonotonicityNot monotonic
2024-05-04T15:25:29.999540image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 30
 
2.9%
1 12
 
1.2%
0 12
 
1.2%
(Missing) 969
94.7%
ValueCountFrequency (%)
0 12
 
1.2%
1 12
 
1.2%
2 30
2.9%
ValueCountFrequency (%)
2 30
2.9%
1 12
 
1.2%
0 12
 
1.2%

adec_ffq
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean160.2501375
Minimum60.0647
Maximum389.239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:30.170599image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum60.0647
5-th percentile79.58466
Q1115.07375
median151.1805
Q3185.11275
95-th percentile319.6077
Maximum389.239
Range329.1743
Interquartile range (IQR)70.039

Descriptive statistics

Standard deviation66.13974662
Coefficient of variation (CV)0.4127281739
Kurtosis2.708662985
Mean160.2501375
Median Absolute Deviation (MAD)36.719
Skewness1.35486542
Sum10256.0088
Variance4374.466083
MonotonicityNot monotonic
2024-05-04T15:25:30.361555image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
151.649 1
 
0.1%
178.97 1
 
0.1%
183.298 1
 
0.1%
61.6565 1
 
0.1%
189.537 1
 
0.1%
65.2268 1
 
0.1%
192.373 1
 
0.1%
163.177 1
 
0.1%
79.5774 1
 
0.1%
148.9 1
 
0.1%
Other values (54) 54
 
5.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
60.0647 1
0.1%
61.6565 1
0.1%
65.2268 1
0.1%
79.5774 1
0.1%
79.6258 1
0.1%
ValueCountFrequency (%)
389.239 1
0.1%
341.861 1
0.1%
337.764 1
0.1%
334.293 1
0.1%
236.391 1
0.1%

ev_adec_ffq
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)4.7%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean1.65625
Minimum0
Maximum2
Zeros8
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:30.519147image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6950790751
Coefficient of variation (CV)0.419670385
Kurtosis1.489978713
Mean1.65625
Median Absolute Deviation (MAD)0
Skewness-1.757069504
Sum106
Variance0.4831349206
MonotonicityNot monotonic
2024-05-04T15:25:30.657049image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 50
 
4.9%
0 8
 
0.8%
1 6
 
0.6%
(Missing) 959
93.7%
ValueCountFrequency (%)
0 8
 
0.8%
1 6
 
0.6%
2 50
4.9%
ValueCountFrequency (%)
2 50
4.9%
1 6
 
0.6%
0 8
 
0.8%

lnhomair_dx
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)96.5%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.2346701053
Minimum-1.19028
Maximum1.52326
Zeros0
Zeros (%)0.0%
Negative23
Negative (%)2.2%
Memory size8.1 KiB
2024-05-04T15:25:30.841905image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.19028
5-th percentile-0.6857608
Q1-0.139762
median0.203341
Q30.610646
95-th percentile1.215334
Maximum1.52326
Range2.71354
Interquartile range (IQR)0.750408

Descriptive statistics

Standard deviation0.6007506312
Coefficient of variation (CV)2.559979383
Kurtosis-0.1551350643
Mean0.2346701053
Median Absolute Deviation (MAD)0.355203
Skewness-0.02622835052
Sum13.376196
Variance0.3609013209
MonotonicityNot monotonic
2024-05-04T15:25:31.042628image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.116004 2
 
0.2%
1.01611 2
 
0.2%
0.181522 1
 
0.1%
0.203341 1
 
0.1%
-0.159565 1
 
0.1%
1.19733 1
 
0.1%
-1.11087 1
 
0.1%
0.565634 1
 
0.1%
0.142716 1
 
0.1%
-0.425268 1
 
0.1%
Other values (45) 45
 
4.4%
(Missing) 966
94.4%
ValueCountFrequency (%)
-1.19028 1
0.1%
-1.11087 1
0.1%
-0.84458 1
0.1%
-0.646056 1
0.1%
-0.562469 1
0.1%
ValueCountFrequency (%)
1.52326 1
0.1%
1.31304 1
0.1%
1.28735 1
0.1%
1.19733 1
0.1%
1.19402 1
0.1%

lnadipo_dx
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)100.0%
Missing970
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean2.179403755
Minimum0.914689
Maximum3.19945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:31.235047image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.914689
5-th percentile1.501524
Q11.81596
median2.21375
Q32.46275
95-th percentile2.97602
Maximum3.19945
Range2.284761
Interquartile range (IQR)0.64679

Descriptive statistics

Standard deviation0.4685441566
Coefficient of variation (CV)0.2149873128
Kurtosis0.2415670381
Mean2.179403755
Median Absolute Deviation (MAD)0.35947
Skewness-0.07600825396
Sum115.508399
Variance0.2195336267
MonotonicityNot monotonic
2024-05-04T15:25:31.429709image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.6611 1
 
0.1%
2.06926 1
 
0.1%
2.07994 1
 
0.1%
1.54948 1
 
0.1%
2.2833 1
 
0.1%
3.19945 1
 
0.1%
2.16665 1
 
0.1%
1.94648 1
 
0.1%
1.81596 1
 
0.1%
1.75786 1
 
0.1%
Other values (43) 43
 
4.2%
(Missing) 970
94.8%
ValueCountFrequency (%)
0.914689 1
0.1%
1.19785 1
0.1%
1.42959 1
0.1%
1.54948 1
0.1%
1.65861 1
0.1%
ValueCountFrequency (%)
3.19945 1
0.1%
3.07228 1
0.1%
3.01622 1
0.1%
2.94922 1
0.1%
2.89497 1
0.1%

lntg_dx
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)88.3%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean5.4284965
Minimum4.77912
Maximum6.10702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:31.612519image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.77912
5-th percentile4.9815115
Q15.2067425
median5.45318
Q35.5586225
95-th percentile5.890246
Maximum6.10702
Range1.3279
Interquartile range (IQR)0.35188

Descriptive statistics

Standard deviation0.2661431109
Coefficient of variation (CV)0.04902703924
Kurtosis0.2109993733
Mean5.4284965
Median Absolute Deviation (MAD)0.185075
Skewness0.04617322915
Sum325.70979
Variance0.0708321555
MonotonicityNot monotonic
2024-05-04T15:25:31.817417image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.19296 3
 
0.3%
5.18178 2
 
0.2%
5.49306 2
 
0.2%
5.52545 2
 
0.2%
5.4848 2
 
0.2%
5.42935 2
 
0.2%
5.65249 1
 
0.1%
5.58725 1
 
0.1%
6.10702 1
 
0.1%
5.66296 1
 
0.1%
Other values (43) 43
 
4.2%
(Missing) 963
94.1%
ValueCountFrequency (%)
4.77912 1
0.1%
4.90527 1
0.1%
4.94164 1
0.1%
4.98361 1
0.1%
5.00395 1
0.1%
ValueCountFrequency (%)
6.10702 1
0.1%
5.97126 1
0.1%
5.9162 1
0.1%
5.88888 1
0.1%
5.82895 1
0.1%

lnct_dx
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)80.0%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean5.451531667
Minimum5.05625
Maximum5.86647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:32.011200image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum5.05625
5-th percentile5.111078
Q15.32544
median5.43808
Q35.599345
95-th percentile5.79301
Maximum5.86647
Range0.81022
Interquartile range (IQR)0.273905

Descriptive statistics

Standard deviation0.1812831543
Coefficient of variation (CV)0.0332536185
Kurtosis-0.0302778787
Mean5.451531667
Median Absolute Deviation (MAD)0.13229
Skewness0.1018117479
Sum327.0919
Variance0.03286358203
MonotonicityNot monotonic
2024-05-04T15:25:32.218673image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
5.43808 4
 
0.4%
5.60947 2
 
0.2%
5.43372 2
 
0.2%
5.4161 2
 
0.2%
5.6058 2
 
0.2%
5.5835 2
 
0.2%
5.46806 2
 
0.2%
5.23111 2
 
0.2%
5.79301 2
 
0.2%
5.2933 2
 
0.2%
Other values (38) 38
 
3.7%
(Missing) 963
94.1%
ValueCountFrequency (%)
5.05625 1
0.1%
5.0814 1
0.1%
5.09375 1
0.1%
5.11199 1
0.1%
5.23111 2
0.2%
ValueCountFrequency (%)
5.86647 1
0.1%
5.82305 1
0.1%
5.79301 2
0.2%
5.76832 1
0.1%
5.67332 1
0.1%

lnldl_dx
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)76.7%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean4.727046667
Minimum3.98898
Maximum5.42935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:32.416715image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.98898
5-th percentile4.11087
Q14.5512325
median4.75355
Q34.94876
95-th percentile5.303805
Maximum5.42935
Range1.44037
Interquartile range (IQR)0.3975275

Descriptive statistics

Standard deviation0.3136900569
Coefficient of variation (CV)0.06636068545
Kurtosis0.2289321226
Mean4.727046667
Median Absolute Deviation (MAD)0.19744
Skewness-0.1740769188
Sum283.6228
Variance0.09840145183
MonotonicityNot monotonic
2024-05-04T15:25:32.604517image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
4.94876 3
 
0.3%
4.76217 3
 
0.3%
4.55388 2
 
0.2%
4.70048 2
 
0.2%
4.95583 2
 
0.2%
4.51086 2
 
0.2%
4.82831 2
 
0.2%
4.11087 2
 
0.2%
4.66344 2
 
0.2%
4.64439 2
 
0.2%
Other values (36) 38
 
3.7%
(Missing) 963
94.1%
ValueCountFrequency (%)
3.98898 1
0.1%
4.07754 1
0.1%
4.11087 2
0.2%
4.12713 1
0.1%
4.2485 1
0.1%
ValueCountFrequency (%)
5.42935 1
0.1%
5.3799 1
0.1%
5.31321 1
0.1%
5.30331 1
0.1%
5.12396 1
0.1%

lnins_dx
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)89.5%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean2.31066107
Minimum0.916291
Maximum3.62966
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:32.803234image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.916291
5-th percentile1.386848
Q11.9601
median2.26176
Q32.67415
95-th percentile3.279248
Maximum3.62966
Range2.713369
Interquartile range (IQR)0.71405

Descriptive statistics

Standard deviation0.6013357854
Coefficient of variation (CV)0.2602440458
Kurtosis-0.2133059501
Mean2.31066107
Median Absolute Deviation (MAD)0.34831
Skewness0.009041944756
Sum131.707681
Variance0.3616047269
MonotonicityNot monotonic
2024-05-04T15:25:33.028744image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.97408 4
 
0.4%
1.88707 2
 
0.2%
2.33214 2
 
0.2%
1.50408 2
 
0.2%
0.916291 1
 
0.1%
1.9601 1
 
0.1%
3.25038 1
 
0.1%
1.02962 1
 
0.1%
2.61007 1
 
0.1%
2.23001 1
 
0.1%
Other values (41) 41
 
4.0%
(Missing) 966
94.4%
ValueCountFrequency (%)
0.916291 1
0.1%
1.02962 1
0.1%
1.19392 1
0.1%
1.43508 1
0.1%
1.50408 2
0.2%
ValueCountFrequency (%)
3.62966 1
0.1%
3.39786 1
0.1%
3.36384 1
0.1%
3.2581 1
0.1%
3.25038 1
0.1%

ganancia1
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)55.9%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean0.6627119153
Minimum-10
Maximum7.6
Zeros5
Zeros (%)0.5%
Negative16
Negative (%)1.6%
Memory size8.1 KiB
2024-05-04T15:25:33.200685image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile-3.1
Q1-0.3999995
median1
Q32
95-th percentile3.57
Maximum7.6
Range17.6
Interquartile range (IQR)2.3999995

Descriptive statistics

Standard deviation2.613156253
Coefficient of variation (CV)3.943125501
Kurtosis4.180476185
Mean0.6627119153
Median Absolute Deviation (MAD)1.1
Skewness-1.067836584
Sum39.100003
Variance6.828585602
MonotonicityNot monotonic
2024-05-04T15:25:33.367987image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 7
 
0.7%
2 6
 
0.6%
3 5
 
0.5%
0 5
 
0.5%
-2 4
 
0.4%
-3 3
 
0.3%
1.8 2
 
0.2%
1.5 2
 
0.2%
2.1 1
 
0.1%
0.299999 1
 
0.1%
Other values (23) 23
 
2.2%
(Missing) 964
94.2%
ValueCountFrequency (%)
-10 1
 
0.1%
-4.2 1
 
0.1%
-4 1
 
0.1%
-3 3
0.3%
-2 4
0.4%
ValueCountFrequency (%)
7.6 1
0.1%
5 1
0.1%
4.2 1
0.1%
3.5 1
0.1%
3.4 1
0.1%

ganancia2
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)56.9%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean5.40862069
Minimum-5
Maximum17.5
Zeros2
Zeros (%)0.2%
Negative3
Negative (%)0.3%
Memory size8.1 KiB
2024-05-04T15:25:33.540127image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-5
5-th percentile-0.075
Q12.625
median5
Q38
95-th percentile12
Maximum17.5
Range22.5
Interquartile range (IQR)5.375

Descriptive statistics

Standard deviation4.153978625
Coefficient of variation (CV)0.7680292006
Kurtosis0.9513847163
Mean5.40862069
Median Absolute Deviation (MAD)2.8
Skewness0.3434560899
Sum313.7
Variance17.25553842
MonotonicityNot monotonic
2024-05-04T15:25:33.690645image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
5 7
 
0.7%
4 5
 
0.5%
6 4
 
0.4%
12 3
 
0.3%
2 3
 
0.3%
0 2
 
0.2%
4.6 2
 
0.2%
3.8 2
 
0.2%
8.5 2
 
0.2%
8 2
 
0.2%
Other values (23) 26
 
2.5%
(Missing) 965
94.3%
ValueCountFrequency (%)
-5 1
0.1%
-3.5 1
0.1%
-0.5 1
0.1%
0 2
0.2%
0.5 1
0.1%
ValueCountFrequency (%)
17.5 1
 
0.1%
15.4 1
 
0.1%
12 3
0.3%
10.5 1
 
0.1%
10.1 1
 
0.1%

kcal_omega3_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean14.30068966
Minimum3.06
Maximum45.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:33.844904image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.06
5-th percentile3.456
Q15.4
median9.9
Q318.09
95-th percentile44.154
Maximum45.99
Range42.93
Interquartile range (IQR)12.69

Descriptive statistics

Standard deviation12.97874414
Coefficient of variation (CV)0.907560716
Kurtosis1.317836933
Mean14.30068966
Median Absolute Deviation (MAD)5.04
Skewness1.53120464
Sum414.72
Variance168.4477995
MonotonicityNot monotonic
2024-05-04T15:25:33.993228image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3.51 1
 
0.1%
38.07 1
 
0.1%
7.29 1
 
0.1%
12.69 1
 
0.1%
18.09 1
 
0.1%
8.55 1
 
0.1%
45.99 1
 
0.1%
20.25 1
 
0.1%
5.22 1
 
0.1%
4.86 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
3.06 1
0.1%
3.42 1
0.1%
3.51 1
0.1%
3.96 1
0.1%
4.41 1
0.1%
ValueCountFrequency (%)
45.99 1
0.1%
45.81 1
0.1%
41.67 1
0.1%
38.07 1
0.1%
23.04 1
0.1%

p_omega3_kr1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing995
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean0.8188323214
Minimum0.209585
Maximum3.87691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:34.137199image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.209585
5-th percentile0.30631825
Q10.3644935
median0.4726625
Q30.94588025
95-th percentile2.050784
Maximum3.87691
Range3.667325
Interquartile range (IQR)0.58138675

Descriptive statistics

Standard deviation0.7765816943
Coefficient of variation (CV)0.9484013686
Kurtosis8.482823401
Mean0.8188323214
Median Absolute Deviation (MAD)0.1509805
Skewness2.679387273
Sum22.927305
Variance0.6030791279
MonotonicityNot monotonic
2024-05-04T15:25:34.296084image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.45 1
 
0.1%
1.64437 1
 
0.1%
0.615559 1
 
0.1%
1.04539 1
 
0.1%
0.437117 1
 
0.1%
2.2047 1
 
0.1%
1.03883 1
 
0.1%
0.466071 1
 
0.1%
0.315584 1
 
0.1%
0.432308 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 995
97.3%
ValueCountFrequency (%)
0.209585 1
0.1%
0.301329 1
0.1%
0.315584 1
0.1%
0.32778 1
0.1%
0.348024 1
0.1%
ValueCountFrequency (%)
3.87691 1
0.1%
2.2047 1
0.1%
1.76494 1
0.1%
1.64437 1
0.1%
1.33688 1
0.1%

ev_omega3_r1
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.1%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean0.6153846154
Minimum0
Maximum1
Zeros25
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:34.439995image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4902903378
Coefficient of variation (CV)0.796721799
Kurtosis-1.821198157
Mean0.6153846154
Median Absolute Deviation (MAD)0
Skewness-0.4856209061
Sum40
Variance0.2403846154
MonotonicityNot monotonic
2024-05-04T15:25:34.565945image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 40
 
3.9%
0 25
 
2.4%
(Missing) 958
93.6%
ValueCountFrequency (%)
0 25
2.4%
1 40
3.9%
ValueCountFrequency (%)
1 40
3.9%
0 25
2.4%

kcal_omega6_r1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)96.6%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean81.52758621
Minimum12.06
Maximum357.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:34.752429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum12.06
5-th percentile27.594
Q137.53
median61.92
Q3100.89
95-th percentile204.714
Maximum357.66
Range345.6
Interquartile range (IQR)63.36

Descriptive statistics

Standard deviation72.16672372
Coefficient of variation (CV)0.8851816554
Kurtosis7.066932616
Mean81.52758621
Median Absolute Deviation (MAD)29.61
Skewness2.409590894
Sum2364.3
Variance5208.036012
MonotonicityNot monotonic
2024-05-04T15:25:34.959736image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
32.31 2
 
0.2%
41.67 1
 
0.1%
181.98 1
 
0.1%
37.98 1
 
0.1%
77.13 1
 
0.1%
138.42 1
 
0.1%
120.24 1
 
0.1%
66.78 1
 
0.1%
32.04 1
 
0.1%
67.32 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 994
97.2%
ValueCountFrequency (%)
12.06 1
0.1%
24.93 1
0.1%
31.59 1
0.1%
32.04 1
0.1%
32.22 1
0.1%
ValueCountFrequency (%)
357.66 1
0.1%
219.87 1
0.1%
181.98 1
0.1%
138.42 1
0.1%
135 1
0.1%

p_omega6_kr1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing995
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean4.935041429
Minimum1.37162
Maximum30.2689
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:35.124840image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.37162
5-th percentile1.657076
Q12.6105775
median3.60276
Q34.9081125
95-th percentile9.8363655
Maximum30.2689
Range28.89728
Interquartile range (IQR)2.297535

Descriptive statistics

Standard deviation5.40732569
Coefficient of variation (CV)1.095700162
Kurtosis19.04144973
Mean4.935041429
Median Absolute Deviation (MAD)1.151845
Skewness4.10338802
Sum138.18116
Variance29.23917112
MonotonicityNot monotonic
2024-05-04T15:25:35.348990image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1.6668 1
 
0.1%
7.86033 1
 
0.1%
3.74138 1
 
0.1%
7.99903 1
 
0.1%
1.65184 1
 
0.1%
5.76414 1
 
0.1%
3.42584 1
 
0.1%
2.86071 1
 
0.1%
4.37143 1
 
0.1%
2.12009 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 995
97.3%
ValueCountFrequency (%)
1.37162 1
0.1%
1.65184 1
0.1%
1.6668 1
0.1%
1.71002 1
0.1%
2.12009 1
0.1%
ValueCountFrequency (%)
30.2689 1
0.1%
10.8257 1
0.1%
7.99903 1
0.1%
7.86033 1
0.1%
5.76414 1
0.1%

ev_omega6_r1
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.1%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean0.6769230769
Minimum0
Maximum1
Zeros21
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:35.497671image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4712911888
Coefficient of variation (CV)0.6962256198
Kurtosis-1.445395362
Mean0.6769230769
Median Absolute Deviation (MAD)0
Skewness-0.7746365172
Sum44
Variance0.2221153846
MonotonicityNot monotonic
2024-05-04T15:25:35.684284image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 44
 
4.3%
0 21
 
2.1%
(Missing) 958
93.6%
ValueCountFrequency (%)
0 21
2.1%
1 44
4.3%
ValueCountFrequency (%)
1 44
4.3%
0 21
2.1%

kcal_omega3_r2
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)93.2%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean11.4940678
Minimum2.61
Maximum46.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:35.863657image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.61
5-th percentile3.285
Q16.255
median9.09
Q313.995
95-th percentile27.837
Maximum46.44
Range43.83
Interquartile range (IQR)7.74

Descriptive statistics

Standard deviation8.975527862
Coefficient of variation (CV)0.7808834976
Kurtosis6.028001893
Mean11.4940678
Median Absolute Deviation (MAD)3.51
Skewness2.259987798
Sum678.15
Variance80.56010041
MonotonicityNot monotonic
2024-05-04T15:25:36.111714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.7 2
 
0.2%
6.3 2
 
0.2%
6.75 2
 
0.2%
12.42 2
 
0.2%
4.32 1
 
0.1%
9.09 1
 
0.1%
5.04 1
 
0.1%
6.84 1
 
0.1%
14.22 1
 
0.1%
12.96 1
 
0.1%
Other values (45) 45
 
4.4%
(Missing) 964
94.2%
ValueCountFrequency (%)
2.61 1
0.1%
2.79 1
0.1%
2.88 1
0.1%
3.33 1
0.1%
3.42 1
0.1%
ValueCountFrequency (%)
46.44 1
0.1%
44.82 1
0.1%
33.75 1
0.1%
27.18 1
0.1%
22.41 1
0.1%

p_omega3_kr2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.6348923684
Minimum0.181523
Maximum4.09068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:36.297357image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.181523
5-th percentile0.2460966
Q10.308535
median0.432146
Q30.685995
95-th percentile1.309024
Maximum4.09068
Range3.909157
Interquartile range (IQR)0.37746

Descriptive statistics

Standard deviation0.6275579934
Coefficient of variation (CV)0.988447845
Kurtosis17.71345486
Mean0.6348923684
Median Absolute Deviation (MAD)0.148857
Skewness3.799097564
Sum36.188865
Variance0.3938290351
MonotonicityNot monotonic
2024-05-04T15:25:36.572039image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.245315 1
 
0.1%
0.566929 1
 
0.1%
0.283289 1
 
0.1%
0.899491 1
 
0.1%
0.404171 1
 
0.1%
1.2819 1
 
0.1%
0.699647 1
 
0.1%
0.382396 1
 
0.1%
0.45168 1
 
0.1%
0.421374 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 966
94.4%
ValueCountFrequency (%)
0.181523 1
0.1%
0.200602 1
0.1%
0.245315 1
0.1%
0.246292 1
0.1%
0.250203 1
0.1%
ValueCountFrequency (%)
4.09068 1
0.1%
2.72311 1
0.1%
1.41752 1
0.1%
1.2819 1
0.1%
1.27567 1
0.1%

ev_omega3_r2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.1%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean0.1538461538
Minimum0
Maximum1
Zeros55
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:36.746264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3636090462
Coefficient of variation (CV)2.3634588
Kurtosis1.917050691
Mean0.1538461538
Median Absolute Deviation (MAD)0
Skewness1.964433288
Sum10
Variance0.1322115385
MonotonicityNot monotonic
2024-05-04T15:25:36.948022image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 55
 
5.4%
1 10
 
1.0%
(Missing) 958
93.6%
ValueCountFrequency (%)
0 55
5.4%
1 10
 
1.0%
ValueCountFrequency (%)
1 10
 
1.0%
0 55
5.4%

kcal_omega6_r2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)96.6%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean73.9220339
Minimum7.02
Maximum314.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:37.160404image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum7.02
5-th percentile20.898
Q136.855
median62.28
Q377.67
95-th percentile195.678
Maximum314.37
Range307.35
Interquartile range (IQR)40.815

Descriptive statistics

Standard deviation61.79384298
Coefficient of variation (CV)0.8359326675
Kurtosis7.483262915
Mean73.9220339
Median Absolute Deviation (MAD)20.34
Skewness2.610482405
Sum4361.4
Variance3818.47903
MonotonicityNot monotonic
2024-05-04T15:25:37.342179image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.76 2
 
0.2%
32.22 2
 
0.2%
188.19 1
 
0.1%
32.13 1
 
0.1%
68.31 1
 
0.1%
159.84 1
 
0.1%
77.49 1
 
0.1%
41.49 1
 
0.1%
55.08 1
 
0.1%
35.55 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 964
94.2%
ValueCountFrequency (%)
7.02 1
0.1%
13.77 1
0.1%
15.39 1
0.1%
21.51 1
0.1%
25.2 1
0.1%
ValueCountFrequency (%)
314.37 1
0.1%
310.95 1
0.1%
263.07 1
0.1%
188.19 1
0.1%
159.84 1
0.1%

p_omega6_kr2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean3.96352007
Minimum0.513574
Maximum28.6923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:37.537226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.513574
5-th percentile1.515454
Q11.93053
median3.03719
Q33.92964
95-th percentile9.052272
Maximum28.6923
Range28.178726
Interquartile range (IQR)1.99911

Descriptive statistics

Standard deviation4.230825805
Coefficient of variation (CV)1.067441499
Kurtosis21.9523407
Mean3.96352007
Median Absolute Deviation (MAD)1.06396
Skewness4.317520805
Sum225.920644
Variance17.89988699
MonotonicityNot monotonic
2024-05-04T15:25:37.720458image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.86031 1
 
0.1%
2.40945 1
 
0.1%
2.86688 1
 
0.1%
4.23708 1
 
0.1%
4.54309 1
 
0.1%
7.66469 1
 
0.1%
2.93216 1
 
0.1%
3.49293 1
 
0.1%
2.37885 1
 
0.1%
3.03094 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 966
94.4%
ValueCountFrequency (%)
0.513574 1
0.1%
1.23765 1
0.1%
1.26343 1
0.1%
1.57846 1
0.1%
1.58888 1
0.1%
ValueCountFrequency (%)
28.6923 1
0.1%
15.4257 1
0.1%
14.6026 1
0.1%
7.66469 1
0.1%
6.98265 1
0.1%

ev_omega6_r2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.1%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean0.2461538462
Minimum0
Maximum1
Zeros49
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:38.360727image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4341215711
Coefficient of variation (CV)1.763618882
Kurtosis-0.5624000752
Mean0.2461538462
Median Absolute Deviation (MAD)0
Skewness1.206596398
Sum16
Variance0.1884615385
MonotonicityNot monotonic
2024-05-04T15:25:38.489667image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 49
 
4.8%
1 16
 
1.6%
(Missing) 958
93.6%
ValueCountFrequency (%)
0 49
4.8%
1 16
 
1.6%
ValueCountFrequency (%)
1 16
 
1.6%
0 49
4.8%

ev_plipidos
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.1%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean0.7384615385
Minimum0
Maximum1
Zeros17
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:38.618484image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4428925899
Coefficient of variation (CV)0.5997503821
Kurtosis-0.7909400319
Mean0.7384615385
Median Absolute Deviation (MAD)0
Skewness-1.111022183
Sum48
Variance0.1961538462
MonotonicityNot monotonic
2024-05-04T15:25:38.750932image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 48
 
4.7%
0 17
 
1.7%
(Missing) 958
93.6%
ValueCountFrequency (%)
0 17
 
1.7%
1 48
4.7%
ValueCountFrequency (%)
1 48
4.7%
0 17
 
1.7%

ev_plipidos1
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)3.1%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean0.8769230769
Minimum0
Maximum1
Zeros8
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:38.881525image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3310821418
Coefficient of variation (CV)0.3775498108
Kurtosis3.629503867
Mean0.8769230769
Median Absolute Deviation (MAD)0
Skewness-2.349198823
Sum57
Variance0.1096153846
MonotonicityNot monotonic
2024-05-04T15:25:39.019405image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 57
 
5.6%
0 8
 
0.8%
(Missing) 958
93.6%
ValueCountFrequency (%)
0 8
 
0.8%
1 57
5.6%
ValueCountFrequency (%)
1 57
5.6%
0 8
 
0.8%

i_omegas
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing995
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean7.329821857
Minimum0.358395
Maximum117.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:39.164394image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.358395
5-th percentile0.56299915
Q11.10835
median2.228995
Q33.3362975
95-th percentile12.849315
Maximum117.35
Range116.991605
Interquartile range (IQR)2.2279475

Descriptive statistics

Standard deviation21.84646546
Coefficient of variation (CV)2.980490643
Kurtosis26.40162464
Mean7.329821857
Median Absolute Deviation (MAD)1.184585
Skewness5.079709683
Sum205.235012
Variance477.2680532
MonotonicityNot monotonic
2024-05-04T15:25:39.328680image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.75006 1
 
0.1%
12.9253 1
 
0.1%
2.30304 1
 
0.1%
8.36208 1
 
0.1%
0.722047 1
 
0.1%
12.7082 1
 
0.1%
3.55889 1
 
0.1%
1.3333 1
 
0.1%
1.37955 1
 
0.1%
0.91653 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 995
97.3%
ValueCountFrequency (%)
0.358395 1
0.1%
0.477358 1
0.1%
0.722047 1
0.1%
0.75006 1
0.1%
0.763098 1
0.1%
ValueCountFrequency (%)
117.35 1
0.1%
12.9253 1
0.1%
12.7082 1
0.1%
10.0918 1
0.1%
8.36208 1
0.1%

ratio_o3o6
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean0.1863137931
Minimum0.027835
Maximum0.382485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:39.481518image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.027835
5-th percentile0.0693024
Q10.130689
median0.164527
Q30.253731
95-th percentile0.3119562
Maximum0.382485
Range0.35465
Interquartile range (IQR)0.123042

Descriptive statistics

Standard deviation0.08490314838
Coefficient of variation (CV)0.455699747
Kurtosis-0.2854709951
Mean0.1863137931
Median Absolute Deviation (MAD)0.044672
Skewness0.4282704908
Sum5.4031
Variance0.007208544604
MonotonicityNot monotonic
2024-05-04T15:25:39.653809image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.140794 1
 
0.1%
0.209199 1
 
0.1%
0.191943 1
 
0.1%
0.164527 1
 
0.1%
0.130689 1
 
0.1%
0.264624 1
 
0.1%
0.382485 1
 
0.1%
0.303234 1
 
0.1%
0.162921 1
 
0.1%
0.072192 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
0.027835 1
0.1%
0.067376 1
0.1%
0.072192 1
0.1%
0.098901 1
0.1%
0.111111 1
0.1%
ValueCountFrequency (%)
0.382485 1
0.1%
0.314149 1
0.1%
0.308667 1
0.1%
0.303317 1
0.1%
0.303234 1
0.1%

res
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean1.125179655
Minimum-29.0308
Maximum25.4559
Zeros0
Zeros (%)0.0%
Negative12
Negative (%)1.2%
Memory size8.1 KiB
2024-05-04T15:25:39.830077image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-29.0308
5-th percentile-25.50258
Q1-4.43017
median3.78994
Q38.69675
95-th percentile17.0886
Maximum25.4559
Range54.4867
Interquartile range (IQR)13.12692

Descriptive statistics

Standard deviation12.96106553
Coefficient of variation (CV)11.51910762
Kurtosis0.4893949845
Mean1.125179655
Median Absolute Deviation (MAD)7.40952
Skewness-0.6833237186
Sum32.63021
Variance167.9892198
MonotonicityNot monotonic
2024-05-04T15:25:39.993362image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-9.91072 1
 
0.1%
25.4559 1
 
0.1%
-4.43017 1
 
0.1%
5.97889 1
 
0.1%
-29.0308 1
 
0.1%
16.087 1
 
0.1%
-5.02276 1
 
0.1%
3.78994 1
 
0.1%
8.01376 1
 
0.1%
9.91873 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
-29.0308 1
0.1%
-25.7635 1
0.1%
-25.1112 1
0.1%
-10.7626 1
0.1%
-9.91072 1
0.1%
ValueCountFrequency (%)
25.4559 1
0.1%
17.6056 1
0.1%
16.3131 1
0.1%
16.087 1
0.1%
14.4238 1
0.1%

g_lipidos_res1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean58.71517931
Minimum28.5592
Maximum83.0459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:40.155079image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum28.5592
5-th percentile32.08742
Q153.1598
median61.3799
Q366.2868
95-th percentile74.6786
Maximum83.0459
Range54.4867
Interquartile range (IQR)13.127

Descriptive statistics

Standard deviation12.96106822
Coefficient of variation (CV)0.2207447609
Kurtosis0.4893916658
Mean58.71517931
Median Absolute Deviation (MAD)7.4095
Skewness-0.6833229684
Sum1702.7402
Variance167.9892894
MonotonicityNot monotonic
2024-05-04T15:25:40.319900image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
47.6793 1
 
0.1%
83.0459 1
 
0.1%
53.1598 1
 
0.1%
63.5689 1
 
0.1%
28.5592 1
 
0.1%
73.677 1
 
0.1%
52.5672 1
 
0.1%
61.3799 1
 
0.1%
65.6038 1
 
0.1%
67.5087 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
28.5592 1
0.1%
31.8265 1
0.1%
32.4788 1
0.1%
46.8274 1
0.1%
47.6793 1
0.1%
ValueCountFrequency (%)
83.0459 1
0.1%
75.1956 1
0.1%
73.9031 1
0.1%
73.677 1
0.1%
72.0138 1
0.1%

res_o3
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing995
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean0.05657989286
Minimum-1.28207
Maximum4.11437
Zeros0
Zeros (%)0.0%
Negative20
Negative (%)2.0%
Memory size8.1 KiB
2024-05-04T15:25:40.476875image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.28207
5-th percentile-1.1649395
Q1-0.6550495
median-0.3746805
Q30.2799985
95-th percentile2.911167
Maximum4.11437
Range5.39644
Interquartile range (IQR)0.935048

Descriptive statistics

Standard deviation1.33436461
Coefficient of variation (CV)23.58372457
Kurtosis2.839423116
Mean0.05657989286
Median Absolute Deviation (MAD)0.449633
Skewness1.828152358
Sum1.584237
Variance1.780528911
MonotonicityNot monotonic
2024-05-04T15:25:40.644215image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
-1.11591 1
 
0.1%
2.059 1
 
0.1%
-0.493542 1
 
0.1%
0.45559 1
 
0.1%
-0.842248 1
 
0.1%
3.18066 1
 
0.1%
0.464817 1
 
0.1%
-0.330665 1
 
0.1%
-0.813565 1
 
0.1%
-0.602211 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 995
97.3%
ValueCountFrequency (%)
-1.28207 1
0.1%
-1.19134 1
0.1%
-1.11591 1
0.1%
-0.878215 1
0.1%
-0.842248 1
0.1%
ValueCountFrequency (%)
4.11437 1
0.1%
3.18066 1
0.1%
2.41068 1
0.1%
2.059 1
0.1%
1.01301 1
0.1%

res_o3_r1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing995
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean1.60658
Minimum0.267931
Maximum5.66437
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:40.807362image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.267931
5-th percentile0.3850628
Q10.8949505
median1.17532
Q31.83
95-th percentile4.461167
Maximum5.66437
Range5.396439
Interquartile range (IQR)0.9350495

Descriptive statistics

Standard deviation1.334364549
Coefficient of variation (CV)0.8305621562
Kurtosis2.839423013
Mean1.60658
Median Absolute Deviation (MAD)0.4496335
Skewness1.828152729
Sum44.98424
Variance1.78052875
MonotonicityNot monotonic
2024-05-04T15:25:40.977890image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.434091 1
 
0.1%
3.609 1
 
0.1%
1.05646 1
 
0.1%
2.00559 1
 
0.1%
0.707752 1
 
0.1%
4.73066 1
 
0.1%
2.01482 1
 
0.1%
1.21933 1
 
0.1%
0.736435 1
 
0.1%
0.947789 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 995
97.3%
ValueCountFrequency (%)
0.267931 1
0.1%
0.358663 1
0.1%
0.434091 1
0.1%
0.671785 1
0.1%
0.707752 1
0.1%
ValueCountFrequency (%)
5.66437 1
0.1%
4.73066 1
0.1%
3.96068 1
0.1%
3.609 1
0.1%
2.56301 1
0.1%

ev_plipidos_r2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.5%
Missing966
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean0.3333333333
Minimum0
Maximum1
Zeros38
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:41.135243image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4755948656
Coefficient of variation (CV)1.426784597
Kurtosis-1.527272727
Mean0.3333333333
Median Absolute Deviation (MAD)0
Skewness0.7263630675
Sum19
Variance0.2261904762
MonotonicityNot monotonic
2024-05-04T15:25:41.285660image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 38
 
3.7%
1 19
 
1.9%
(Missing) 966
94.4%
ValueCountFrequency (%)
0 38
3.7%
1 19
1.9%
ValueCountFrequency (%)
1 19
1.9%
0 38
3.7%

cmb_1av_01
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)100.0%
Missing1019
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean29.65
Minimum26
Maximum31.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:41.419484image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile26.45
Q128.25
median30.35
Q331.75
95-th percentile31.87
Maximum31.9
Range5.9
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.769476485
Coefficient of variation (CV)0.093405615
Kurtosis-0.9802223057
Mean29.65
Median Absolute Deviation (MAD)1.45
Skewness-0.9068875162
Sum118.6
Variance7.67
MonotonicityNot monotonic
2024-05-04T15:25:41.548614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
31.9 1
 
0.1%
29 1
 
0.1%
31.7 1
 
0.1%
26 1
 
0.1%
(Missing) 1019
99.6%
ValueCountFrequency (%)
26 1
0.1%
29 1
0.1%
31.7 1
0.1%
31.9 1
0.1%
ValueCountFrequency (%)
31.9 1
0.1%
31.7 1
0.1%
29 1
0.1%
26 1
0.1%

ev_adec_r1_01
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)5.0%
Missing963
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean1.183333333
Minimum0
Maximum2
Zeros18
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:41.681869image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8731720212
Coefficient of variation (CV)0.7378918489
Kurtosis-1.602661084
Mean1.183333333
Median Absolute Deviation (MAD)1
Skewness-0.3716344146
Sum71
Variance0.7624293785
MonotonicityNot monotonic
2024-05-04T15:25:41.833564image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 29
 
2.8%
0 18
 
1.8%
1 13
 
1.3%
(Missing) 963
94.1%
ValueCountFrequency (%)
0 18
1.8%
1 13
1.3%
2 29
2.8%
ValueCountFrequency (%)
2 29
2.8%
1 13
1.3%
0 18
1.8%

ev_sat_kr1_01
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)3.3%
Missing962
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean0.8524590164
Minimum0
Maximum1
Zeros9
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:41.978786image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3575875452
Coefficient of variation (CV)0.4194776972
Kurtosis2.225943743
Mean0.8524590164
Median Absolute Deviation (MAD)0
Skewness-2.038140224
Sum52
Variance0.1278688525
MonotonicityNot monotonic
2024-05-04T15:25:42.130895image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 52
 
5.1%
0 9
 
0.9%
(Missing) 962
94.0%
ValueCountFrequency (%)
0 9
 
0.9%
1 52
5.1%
ValueCountFrequency (%)
1 52
5.1%
0 9
 
0.9%

ev_mono_kr1_01
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.1%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.703125
Minimum0
Maximum1
Zeros19
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:42.296999image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4604927485
Coefficient of variation (CV)0.6549230201
Kurtosis-1.209496507
Mean0.703125
Median Absolute Deviation (MAD)0
Skewness-0.9106654558
Sum45
Variance0.2120535714
MonotonicityNot monotonic
2024-05-04T15:25:42.432648image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 45
 
4.4%
0 19
 
1.9%
(Missing) 959
93.7%
ValueCountFrequency (%)
0 19
1.9%
1 45
4.4%
ValueCountFrequency (%)
1 45
4.4%
0 19
1.9%

var417
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1023
Missing (%)100.0%
Memory size8.1 KiB

ev_poly_kr1_01
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.3%
Missing962
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean0.262295082
Minimum0
Maximum1
Zeros45
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:42.612443image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4435327626
Coefficient of variation (CV)1.690968657
Kurtosis-0.7991915059
Mean0.262295082
Median Absolute Deviation (MAD)0
Skewness1.108205448
Sum16
Variance0.1967213115
MonotonicityNot monotonic
2024-05-04T15:25:42.766437image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
 
4.4%
1 16
 
1.6%
(Missing) 962
94.0%
ValueCountFrequency (%)
0 45
4.4%
1 16
 
1.6%
ValueCountFrequency (%)
1 16
 
1.6%
0 45
4.4%

ev_col_kr1_01
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.1%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.4375
Minimum0
Maximum1
Zeros36
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:42.900038image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5
Coefficient of variation (CV)1.142857143
Kurtosis-1.996827076
Mean0.4375
Median Absolute Deviation (MAD)0
Skewness0.2580645161
Sum28
Variance0.25
MonotonicityNot monotonic
2024-05-04T15:25:43.040173image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 36
 
3.5%
1 28
 
2.7%
(Missing) 959
93.7%
ValueCountFrequency (%)
0 36
3.5%
1 28
2.7%
ValueCountFrequency (%)
1 28
2.7%
0 36
3.5%

ev_az_r1_01
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)3.1%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0.984375
Minimum0
Maximum1
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:43.171700image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.125
Coefficient of variation (CV)0.126984127
Kurtosis64
Mean0.984375
Median Absolute Deviation (MAD)0
Skewness-8
Sum63
Variance0.015625
MonotonicityNot monotonic
2024-05-04T15:25:43.313449image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 63
 
6.2%
0 1
 
0.1%
(Missing) 959
93.7%
ValueCountFrequency (%)
0 1
 
0.1%
1 63
6.2%
ValueCountFrequency (%)
1 63
6.2%
0 1
 
0.1%

ev_ratio_r1_01
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)3.1%
Missing958
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean0.3076923077
Minimum0
Maximum1
Zeros45
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:43.481310image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4651302547
Coefficient of variation (CV)1.511673328
Kurtosis-1.313534733
Mean0.3076923077
Median Absolute Deviation (MAD)0
Skewness0.8531489681
Sum20
Variance0.2163461538
MonotonicityNot monotonic
2024-05-04T15:25:43.659141image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
 
4.4%
1 20
 
2.0%
(Missing) 958
93.6%
ValueCountFrequency (%)
0 45
4.4%
1 20
2.0%
ValueCountFrequency (%)
1 20
2.0%
0 45
4.4%

ev_fibra_kr1_01
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)1.6%
Missing959
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros64
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:43.818280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-05-04T15:25:44.005500image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 64
 
6.3%
(Missing) 959
93.7%
ValueCountFrequency (%)
0 64
6.3%
ValueCountFrequency (%)
0 64
6.3%

dfe_sup_r24h_res1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean372.1879348
Minimum75.33071
Maximum696.8421
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:44.199529image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum75.33071
5-th percentile123.12336
Q1263.5346
median316.513
Q3501.1426
95-th percentile654.2826
Maximum696.8421
Range621.51139
Interquartile range (IQR)237.608

Descriptive statistics

Standard deviation167.6384139
Coefficient of variation (CV)0.4504133482
Kurtosis-0.7473124935
Mean372.1879348
Median Absolute Deviation (MAD)95.8988
Skewness0.2803714717
Sum10793.45011
Variance28102.63781
MonotonicityNot monotonic
2024-05-04T15:25:44.356167image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
541.6627 1
 
0.1%
75.33071 1
 
0.1%
514.3376 1
 
0.1%
665.2166 1
 
0.1%
468.726 1
 
0.1%
269.9193 1
 
0.1%
406.5867 1
 
0.1%
220.6142 1
 
0.1%
404.9012 1
 
0.1%
294.2535 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
75.33071 1
0.1%
100.105 1
0.1%
157.6509 1
0.1%
220.6142 1
0.1%
227.9653 1
0.1%
ValueCountFrequency (%)
696.8421 1
0.1%
665.2166 1
0.1%
637.8816 1
0.1%
602.753 1
0.1%
543.2933 1
0.1%

res_dfe_af_r24h_r1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing995
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean-295.5440321
Minimum-3130.348
Maximum7575.682
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)1.9%
Memory size8.1 KiB
2024-05-04T15:25:44.589938image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-3130.348
5-th percentile-2605.2685
Q1-1691.24425
median-737.23585
Q3421.32605
95-th percentile4375.069755
Maximum7575.682
Range10706.03
Interquartile range (IQR)2112.5703

Descriptive statistics

Standard deviation2320.07964
Coefficient of variation (CV)-7.850199589
Kurtosis6.053688456
Mean-295.5440321
Median Absolute Deviation (MAD)1091.64115
Skewness2.271853055
Sum-8275.2329
Variance5382769.534
MonotonicityNot monotonic
2024-05-04T15:25:44.782147image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
6308.974 1
 
0.1%
-2013.763 1
 
0.1%
-1937.776 1
 
0.1%
783.5333 1
 
0.1%
-1801.552 1
 
0.1%
-2224.336 1
 
0.1%
-1052.148 1
 
0.1%
-209.3139 1
 
0.1%
-748.6575 1
 
0.1%
775.6136 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 995
97.3%
ValueCountFrequency (%)
-3130.348 1
0.1%
-2810.386 1
0.1%
-2224.336 1
0.1%
-2013.763 1
0.1%
-1937.776 1
0.1%
ValueCountFrequency (%)
7575.682 1
0.1%
6308.974 1
0.1%
783.5333 1
0.1%
775.6136 1
0.1%
620.7012 1
0.1%

dfe_af_r24h_res1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)100.0%
Missing995
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean2321.905836
Minimum-512.8984
Maximum10193.13
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)0.2%
Memory size8.1 KiB
2024-05-04T15:25:44.966231image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-512.8984
5-th percentile12.18121
Q1926.205475
median1880.214
Q33038.77575
95-th percentile6992.51965
Maximum10193.13
Range10706.0284
Interquartile range (IQR)2112.570275

Descriptive statistics

Standard deviation2320.079409
Coefficient of variation (CV)0.9992133933
Kurtosis6.05368666
Mean2321.905836
Median Absolute Deviation (MAD)1091.64095
Skewness2.271852674
Sum65013.3634
Variance5382768.464
MonotonicityNot monotonic
2024-05-04T15:25:45.129925image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
8926.424 1
 
0.1%
603.6871 1
 
0.1%
679.6745 1
 
0.1%
3400.983 1
 
0.1%
815.8984 1
 
0.1%
393.1141 1
 
0.1%
1565.302 1
 
0.1%
2408.136 1
 
0.1%
1868.792 1
 
0.1%
3393.064 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 995
97.3%
ValueCountFrequency (%)
-512.8984 1
0.1%
-192.9365 1
0.1%
393.1141 1
0.1%
603.6871 1
0.1%
679.6745 1
0.1%
ValueCountFrequency (%)
10193.13 1
0.1%
8926.424 1
0.1%
3400.983 1
0.1%
3393.064 1
0.1%
3238.151 1
0.1%

dfe_af_r24h_r2
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)100.0%
Missing970
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean2298.323208
Minimum140.28
Maximum16437.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:45.365517image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum140.28
5-th percentile1043.168
Q11283.5
median1886.46
Q32325.43
95-th percentile4005.248
Maximum16437.84
Range16297.56
Interquartile range (IQR)1041.93

Descriptive statistics

Standard deviation2333.403449
Coefficient of variation (CV)1.015263407
Kurtosis27.17720315
Mean2298.323208
Median Absolute Deviation (MAD)553.73
Skewness4.813735044
Sum121811.13
Variance5444771.658
MonotonicityNot monotonic
2024-05-04T15:25:45.660881image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1572.43 1
 
0.1%
1715.55 1
 
0.1%
1116.16 1
 
0.1%
2254.09 1
 
0.1%
1046.3 1
 
0.1%
1962.89 1
 
0.1%
3285.46 1
 
0.1%
1283.5 1
 
0.1%
1894.84 1
 
0.1%
2404.75 1
 
0.1%
Other values (43) 43
 
4.2%
(Missing) 970
94.8%
ValueCountFrequency (%)
140.28 1
0.1%
246.35 1
0.1%
1038.47 1
0.1%
1046.3 1
0.1%
1070.17 1
0.1%
ValueCountFrequency (%)
16437.84 1
0.1%
8647.59 1
0.1%
4660.7 1
0.1%
3568.28 1
0.1%
3504.11 1
0.1%

res_dfe_af_r24h_r2_res2
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)100.0%
Missing970
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean36.38660868
Minimum-2009.648
Maximum14131.03
Zeros0
Zeros (%)0.0%
Negative33
Negative (%)3.2%
Memory size8.1 KiB
2024-05-04T15:25:45.846669image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-2009.648
5-th percentile-1687.2884
Q1-839.2305
median-407.3033
Q3316.0874
95-th percentile1287.23966
Maximum14131.03
Range16140.678
Interquartile range (IQR)1155.3179

Descriptive statistics

Standard deviation2296.839678
Coefficient of variation (CV)63.12321377
Kurtosis28.50283439
Mean36.38660868
Median Absolute Deviation (MAD)596.5408
Skewness4.920962037
Sum1928.49026
Variance5275472.506
MonotonicityNot monotonic
2024-05-04T15:25:46.113041image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1030.162 1
 
0.1%
216.0056 1
 
0.1%
-2009.648 1
 
0.1%
606.7898 1
 
0.1%
-839.2305 1
 
0.1%
-18.10948 1
 
0.1%
798.5221 1
 
0.1%
-603.1627 1
 
0.1%
-252.5079 1
 
0.1%
-390.8435 1
 
0.1%
Other values (43) 43
 
4.2%
(Missing) 970
94.8%
ValueCountFrequency (%)
-2009.648 1
0.1%
-1705.024 1
0.1%
-1697.192 1
0.1%
-1680.686 1
0.1%
-1552.827 1
0.1%
ValueCountFrequency (%)
14131.03 1
0.1%
6048.041 1
0.1%
2020.316 1
0.1%
798.5221 1
0.1%
682.8398 1
0.1%

dfe_af_r24h_r2_resr2
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)100.0%
Missing970
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean2295.016589
Minimum248.9823
Maximum16389.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:46.396963image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum248.9823
5-th percentile571.34188
Q11419.4
median1851.327
Q32574.717
95-th percentile3545.8696
Maximum16389.66
Range16140.6777
Interquartile range (IQR)1155.317

Descriptive statistics

Standard deviation2296.839664
Coefficient of variation (CV)1.000794362
Kurtosis28.50283535
Mean2295.016589
Median Absolute Deviation (MAD)596.54
Skewness4.920962172
Sum121635.8792
Variance5275472.44
MonotonicityNot monotonic
2024-05-04T15:25:46.646373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1228.468 1
 
0.1%
2474.635 1
 
0.1%
248.9823 1
 
0.1%
2865.42 1
 
0.1%
1419.4 1
 
0.1%
2240.521 1
 
0.1%
3057.152 1
 
0.1%
1655.467 1
 
0.1%
2006.122 1
 
0.1%
1867.786 1
 
0.1%
Other values (43) 43
 
4.2%
(Missing) 970
94.8%
ValueCountFrequency (%)
248.9823 1
0.1%
553.606 1
0.1%
561.4384 1
0.1%
577.9442 1
0.1%
705.8032 1
0.1%
ValueCountFrequency (%)
16389.66 1
0.1%
8306.671 1
0.1%
4278.946 1
0.1%
3057.152 1
0.1%
2941.47 1
0.1%

vitb2_r1
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)89.7%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean8.037586207
Minimum0.91
Maximum181.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:46.881441image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.91
5-th percentile0.94
Q11.13
median1.89
Q32.3
95-th percentile3.596
Maximum181.33
Range180.42
Interquartile range (IQR)1.17

Descriptive statistics

Standard deviation33.33702743
Coefficient of variation (CV)4.147641663
Kurtosis28.96844611
Mean8.037586207
Median Absolute Deviation (MAD)0.53
Skewness5.380924998
Sum233.09
Variance1111.357398
MonotonicityNot monotonic
2024-05-04T15:25:47.065987image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1.97 2
 
0.2%
0.94 2
 
0.2%
1.13 2
 
0.2%
2.67 1
 
0.1%
2.23 1
 
0.1%
1.88 1
 
0.1%
2.3 1
 
0.1%
1.99 1
 
0.1%
1.89 1
 
0.1%
181.33 1
 
0.1%
Other values (16) 16
 
1.6%
(Missing) 994
97.2%
ValueCountFrequency (%)
0.91 1
0.1%
0.94 2
0.2%
0.98 1
0.1%
1.02 1
0.1%
1.06 1
0.1%
ValueCountFrequency (%)
181.33 1
0.1%
3.76 1
0.1%
3.35 1
0.1%
2.83 1
0.1%
2.67 1
0.1%

vitb6_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean25.22965517
Minimum0.59
Maximum391.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:47.289594image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.59
5-th percentile0.704
Q11.12
median1.53
Q32.47
95-th percentile178.166
Maximum391.29
Range390.7
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation88.9196238
Coefficient of variation (CV)3.524409002
Kurtosis13.08217448
Mean25.22965517
Median Absolute Deviation (MAD)0.45
Skewness3.72055329
Sum731.66
Variance7906.699496
MonotonicityNot monotonic
2024-05-04T15:25:47.460901image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1.6 1
 
0.1%
2.38 1
 
0.1%
1.7 1
 
0.1%
1.89 1
 
0.1%
294.35 1
 
0.1%
2.95 1
 
0.1%
1.12 1
 
0.1%
0.86 1
 
0.1%
391.29 1
 
0.1%
1.02 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
0.59 1
0.1%
0.6 1
0.1%
0.86 1
0.1%
1.02 1
0.1%
1.03 1
0.1%
ValueCountFrequency (%)
391.29 1
0.1%
294.35 1
0.1%
3.89 1
0.1%
3.54 1
0.1%
2.95 1
0.1%

vitb12_r1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)96.6%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean5.155862069
Minimum0.18
Maximum56.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:47.664073image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.18
5-th percentile0.914
Q11.69
median2.8
Q34.48
95-th percentile9.162
Maximum56.83
Range56.65
Interquartile range (IQR)2.79

Descriptive statistics

Standard deviation10.17468129
Coefficient of variation (CV)1.973419994
Kurtosis26.10936613
Mean5.155862069
Median Absolute Deviation (MAD)1.36
Skewness5.003836933
Sum149.52
Variance103.5241394
MonotonicityNot monotonic
2024-05-04T15:25:47.816021image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4.16 2
 
0.2%
4.92 1
 
0.1%
4.27 1
 
0.1%
3.9 1
 
0.1%
5.25 1
 
0.1%
56.83 1
 
0.1%
8.37 1
 
0.1%
9.69 1
 
0.1%
1.8 1
 
0.1%
3.57 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 994
97.2%
ValueCountFrequency (%)
0.18 1
0.1%
0.75 1
0.1%
1.16 1
0.1%
1.42 1
0.1%
1.48 1
0.1%
ValueCountFrequency (%)
56.83 1
0.1%
9.69 1
0.1%
8.37 1
0.1%
6.03 1
0.1%
5.25 1
0.1%

biotina_r1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)96.6%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean16.22517241
Minimum3.03
Maximum44.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:47.972562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.03
5-th percentile7.472
Q19.65
median12.7
Q317.94
95-th percentile37.106
Maximum44.41
Range41.38
Interquartile range (IQR)8.29

Descriptive statistics

Standard deviation10.00153832
Coefficient of variation (CV)0.6164210809
Kurtosis2.213945077
Mean16.22517241
Median Absolute Deviation (MAD)3.54
Skewness1.545538303
Sum470.53
Variance100.0307687
MonotonicityNot monotonic
2024-05-04T15:25:48.117180image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
12.7 2
 
0.2%
27.54 1
 
0.1%
13.97 1
 
0.1%
25.38 1
 
0.1%
16.2 1
 
0.1%
17.94 1
 
0.1%
27.97 1
 
0.1%
3.03 1
 
0.1%
12.5 1
 
0.1%
9.46 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 994
97.2%
ValueCountFrequency (%)
3.03 1
0.1%
7.22 1
0.1%
7.85 1
0.1%
8.22 1
0.1%
9.16 1
0.1%
ValueCountFrequency (%)
44.41 1
0.1%
42.81 1
0.1%
28.55 1
0.1%
27.97 1
0.1%
27.54 1
0.1%

colina_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean388.0773333
Minimum0
Maximum1535.31
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:48.267296image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.66
Q1227.0175
median349.51
Q3473.825
95-th percentile877.671
Maximum1535.31
Range1535.31
Interquartile range (IQR)246.8075

Descriptive statistics

Standard deviation310.9212815
Coefficient of variation (CV)0.8011838228
Kurtosis5.792438769
Mean388.0773333
Median Absolute Deviation (MAD)127.165
Skewness1.987705921
Sum11642.32
Variance96672.04328
MonotonicityNot monotonic
2024-05-04T15:25:48.443240image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 2
 
0.2%
1535.31 1
 
0.1%
418.65 1
 
0.1%
675.37 1
 
0.1%
219.65 1
 
0.1%
402.22 1
 
0.1%
674.73 1
 
0.1%
95.79 1
 
0.1%
364.47 1
 
0.1%
255 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 993
97.1%
ValueCountFrequency (%)
0 2
0.2%
74.8 1
0.1%
87.78 1
0.1%
95.79 1
0.1%
152.82 1
0.1%
ValueCountFrequency (%)
1535.31 1
0.1%
1043.19 1
0.1%
675.37 1
0.1%
674.73 1
0.1%
584.53 1
0.1%

zn_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean9.518275862
Minimum3.16
Maximum43.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:48.609948image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum3.16
5-th percentile3.818
Q15.3
median7.27
Q310.68
95-th percentile17.77
Maximum43.85
Range40.69
Interquartile range (IQR)5.38

Descriptive statistics

Standard deviation7.636385209
Coefficient of variation (CV)0.8022866032
Kurtosis15.00699384
Mean9.518275862
Median Absolute Deviation (MAD)2.48
Skewness3.503010487
Sum276.03
Variance58.31437906
MonotonicityNot monotonic
2024-05-04T15:25:48.788887image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
9.27 1
 
0.1%
9.73 1
 
0.1%
9.33 1
 
0.1%
13.66 1
 
0.1%
43.85 1
 
0.1%
11.42 1
 
0.1%
5.3 1
 
0.1%
4.52 1
 
0.1%
9.85 1
 
0.1%
5.86 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
3.16 1
0.1%
3.71 1
0.1%
3.98 1
0.1%
4.47 1
0.1%
4.52 1
0.1%
ValueCountFrequency (%)
43.85 1
0.1%
20.31 1
0.1%
13.96 1
0.1%
13.66 1
0.1%
13.2 1
0.1%

vitb2_r2
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)83.1%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean8.290169492
Minimum0.38
Maximum347.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:48.982256image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.38
5-th percentile0.825
Q11.695
median2.08
Q32.37
95-th percentile4.494
Maximum347.9
Range347.52
Interquartile range (IQR)0.675

Descriptive statistics

Standard deviation45.05148669
Coefficient of variation (CV)5.434326372
Kurtosis58.58320016
Mean8.290169492
Median Absolute Deviation (MAD)0.33
Skewness7.642387507
Sum489.12
Variance2029.636453
MonotonicityNot monotonic
2024-05-04T15:25:49.175752image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
2.26 3
 
0.3%
2.33 2
 
0.2%
1.93 2
 
0.2%
1.96 2
 
0.2%
2.37 2
 
0.2%
1.92 2
 
0.2%
2.36 2
 
0.2%
2.08 2
 
0.2%
1.89 2
 
0.2%
3.13 1
 
0.1%
Other values (39) 39
 
3.8%
(Missing) 964
94.2%
ValueCountFrequency (%)
0.38 1
0.1%
0.47 1
0.1%
0.78 1
0.1%
0.83 1
0.1%
1.13 1
0.1%
ValueCountFrequency (%)
347.9 1
0.1%
21.15 1
0.1%
5.52 1
0.1%
4.38 1
0.1%
3.22 1
0.1%

vitb6_r2
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)91.5%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean19.33694915
Minimum0.52
Maximum751.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:49.370634image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.52
5-th percentile0.756
Q11.21
median1.59
Q32.09
95-th percentile3.004
Maximum751.82
Range751.3
Interquartile range (IQR)0.88

Descriptive statistics

Standard deviation104.2214517
Coefficient of variation (CV)5.389756726
Kurtosis44.41871952
Mean19.33694915
Median Absolute Deviation (MAD)0.4
Skewness6.518326987
Sum1140.88
Variance10862.111
MonotonicityNot monotonic
2024-05-04T15:25:50.059932image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.85 2
 
0.2%
1.9 2
 
0.2%
1.21 2
 
0.2%
0.88 2
 
0.2%
1.2 2
 
0.2%
2.77 1
 
0.1%
1.74 1
 
0.1%
1.3 1
 
0.1%
1.22 1
 
0.1%
1.24 1
 
0.1%
Other values (44) 44
 
4.3%
(Missing) 964
94.2%
ValueCountFrequency (%)
0.52 1
0.1%
0.56 1
0.1%
0.72 1
0.1%
0.76 1
0.1%
0.85 2
0.2%
ValueCountFrequency (%)
751.82 1
0.1%
294.35 1
0.1%
5.11 1
0.1%
2.77 1
0.1%
2.74 1
0.1%

vitb12_r2
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)94.9%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean4.331694915
Minimum0.62
Maximum56.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:50.243829image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.62
5-th percentile1.092
Q11.975
median2.46
Q33.96
95-th percentile9.315
Maximum56.83
Range56.21
Interquartile range (IQR)1.985

Descriptive statistics

Standard deviation7.617228465
Coefficient of variation (CV)1.758486831
Kurtosis40.57818309
Mean4.331694915
Median Absolute Deviation (MAD)0.87
Skewness6.062505892
Sum255.57
Variance58.02216949
MonotonicityNot monotonic
2024-05-04T15:25:50.440822image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.33 2
 
0.2%
2.15 2
 
0.2%
0.93 2
 
0.2%
1.17 1
 
0.1%
2.22 1
 
0.1%
1.98 1
 
0.1%
1.73 1
 
0.1%
4.61 1
 
0.1%
1.19 1
 
0.1%
4.09 1
 
0.1%
Other values (46) 46
 
4.5%
(Missing) 964
94.2%
ValueCountFrequency (%)
0.62 1
0.1%
0.93 2
0.2%
1.11 1
0.1%
1.17 1
0.1%
1.18 1
0.1%
ValueCountFrequency (%)
56.83 1
0.1%
22.21 1
0.1%
9.36 1
0.1%
9.31 1
0.1%
7.7 1
0.1%

biotina_r2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)98.3%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean18.13271186
Minimum1.14
Maximum41.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:50.629167image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.14
5-th percentile6.099
Q112.045
median17.94
Q323.56
95-th percentile31.402
Maximum41.25
Range40.11
Interquartile range (IQR)11.515

Descriptive statistics

Standard deviation8.470789734
Coefficient of variation (CV)0.4671551502
Kurtosis-0.01780209897
Mean18.13271186
Median Absolute Deviation (MAD)5.96
Skewness0.3135841061
Sum1069.83
Variance71.75427873
MonotonicityNot monotonic
2024-05-04T15:25:50.840467image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.22 2
 
0.2%
8.42 1
 
0.1%
18.67 1
 
0.1%
8.02 1
 
0.1%
24.19 1
 
0.1%
6.42 1
 
0.1%
28.84 1
 
0.1%
10.79 1
 
0.1%
17.87 1
 
0.1%
18.28 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 964
94.2%
ValueCountFrequency (%)
1.14 1
0.1%
1.68 1
0.1%
3.21 1
0.1%
6.42 1
0.1%
7.89 1
0.1%
ValueCountFrequency (%)
41.25 1
0.1%
35.16 1
0.1%
34.3 1
0.1%
31.08 1
0.1%
30.54 1
0.1%

zn_r2
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)100.0%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean9.582542373
Minimum2.88
Maximum43.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:51.058732image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.88
5-th percentile4.573
Q16.04
median7.42
Q310.08
95-th percentile20.056
Maximum43.85
Range40.97
Interquartile range (IQR)4.04

Descriptive statistics

Standard deviation7.231253669
Coefficient of variation (CV)0.7546278835
Kurtosis13.29755751
Mean9.582542373
Median Absolute Deviation (MAD)1.77
Skewness3.405694603
Sum565.37
Variance52.29102963
MonotonicityNot monotonic
2024-05-04T15:25:51.244443image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.68 1
 
0.1%
8.59 1
 
0.1%
11.47 1
 
0.1%
15.22 1
 
0.1%
12.96 1
 
0.1%
2.88 1
 
0.1%
7.33 1
 
0.1%
19.63 1
 
0.1%
6.93 1
 
0.1%
10.22 1
 
0.1%
Other values (49) 49
 
4.8%
(Missing) 964
94.2%
ValueCountFrequency (%)
2.88 1
0.1%
3.31 1
0.1%
3.79 1
0.1%
4.66 1
0.1%
4.68 1
0.1%
ValueCountFrequency (%)
43.85 1
0.1%
40.47 1
0.1%
23.89 1
0.1%
19.63 1
0.1%
15.22 1
0.1%

colina_r242
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)98.3%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean452.230678
Minimum0
Maximum1490.48
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:51.430990image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.599
Q1207.165
median419.52
Q3633.705
95-th percentile1042.759
Maximum1490.48
Range1490.48
Interquartile range (IQR)426.54

Descriptive statistics

Standard deviation328.6438556
Coefficient of variation (CV)0.7267172964
Kurtosis0.8160702614
Mean452.230678
Median Absolute Deviation (MAD)215.52
Skewness0.794131108
Sum26681.61
Variance108006.7838
MonotonicityNot monotonic
2024-05-04T15:25:51.659491image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
0.2%
327.39 1
 
0.1%
445.79 1
 
0.1%
944.4 1
 
0.1%
3.25 1
 
0.1%
732 1
 
0.1%
276.62 1
 
0.1%
755.29 1
 
0.1%
14.06 1
 
0.1%
536.31 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 964
94.2%
ValueCountFrequency (%)
0 2
0.2%
3.25 1
0.1%
5.86 1
0.1%
14 1
0.1%
14.06 1
0.1%
ValueCountFrequency (%)
1490.48 1
0.1%
1258.52 1
0.1%
1117 1
0.1%
1034.51 1
0.1%
944.4 1
0.1%

res_vitb12_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean0.1149879069
Minimum-5.50082
Maximum51.01769
Zeros0
Zeros (%)0.0%
Negative21
Negative (%)2.1%
Memory size8.1 KiB
2024-05-04T15:25:51.874527image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-5.50082
5-th percentile-4.371594
Q1-2.986074
median-1.90724
Q30.0300745
95-th percentile3.1943318
Maximum51.01769
Range56.51851
Interquartile range (IQR)3.0161485

Descriptive statistics

Standard deviation10.0178573
Coefficient of variation (CV)87.12096401
Kurtosis26.16914841
Mean0.1149879069
Median Absolute Deviation (MAD)1.5766278
Skewness5.005491683
Sum3.3346493
Variance100.3574648
MonotonicityNot monotonic
2024-05-04T15:25:52.029136image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0300745 1
 
0.1%
-2.705264 1
 
0.1%
-2.25404 1
 
0.1%
0.1679579 1
 
0.1%
51.01769 1
 
0.1%
2.136761 1
 
0.1%
3.899379 1
 
0.1%
-1.305445 1
 
0.1%
-0.8953555 1
 
0.1%
-2.819788 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
-5.50082 1
0.1%
-4.403574 1
0.1%
-4.323624 1
0.1%
-4.155155 1
0.1%
-3.899248 1
0.1%
ValueCountFrequency (%)
51.01769 1
0.1%
3.899379 1
0.1%
2.136761 1
0.1%
0.8284211 1
0.1%
0.7911205 1
0.1%

vitb12_r1_res1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean5.204987893
Minimum-0.4108202
Maximum56.10769
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size8.1 KiB
2024-05-04T15:25:52.246702image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.4108202
5-th percentile0.71840612
Q12.103926
median3.18276
Q35.120075
95-th percentile8.2843318
Maximum56.10769
Range56.5185102
Interquartile range (IQR)3.016149

Descriptive statistics

Standard deviation10.01785731
Coefficient of variation (CV)1.924664863
Kurtosis26.1691483
Mean5.204987893
Median Absolute Deviation (MAD)1.576628
Skewness5.005491669
Sum150.9446489
Variance100.3574651
MonotonicityNot monotonic
2024-05-04T15:25:52.483317image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5.120075 1
 
0.1%
2.384736 1
 
0.1%
2.83596 1
 
0.1%
5.257958 1
 
0.1%
56.10769 1
 
0.1%
7.226761 1
 
0.1%
8.989379 1
 
0.1%
3.784554 1
 
0.1%
4.194644 1
 
0.1%
2.270212 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
-0.4108202 1
0.1%
0.686426 1
0.1%
0.7663763 1
0.1%
0.9348448 1
0.1%
1.190752 1
0.1%
ValueCountFrequency (%)
56.10769 1
0.1%
8.989379 1
0.1%
7.226761 1
0.1%
5.918421 1
0.1%
5.881121 1
0.1%

res_colina_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean9.362866552
Minimum-403.6335
Maximum976.8693
Zeros0
Zeros (%)0.0%
Negative17
Negative (%)1.7%
Memory size8.1 KiB
2024-05-04T15:25:52.632646image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-403.6335
5-th percentile-338.85754
Q1-144.4847
median-99.29934
Q399.96629
95-th percentile437.44756
Maximum976.8693
Range1380.5028
Interquartile range (IQR)244.45099

Descriptive statistics

Standard deviation283.7892755
Coefficient of variation (CV)30.31008441
Kurtosis3.665921664
Mean9.362866552
Median Absolute Deviation (MAD)114.1061
Skewness1.539353128
Sum271.52313
Variance80536.3529
MonotonicityNot monotonic
2024-05-04T15:25:52.867466image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-130.8506 1
 
0.1%
-100.4872 1
 
0.1%
210.1666 1
 
0.1%
-175.1501 1
 
0.1%
-40.54063 1
 
0.1%
204.3252 1
 
0.1%
-345.5459 1
 
0.1%
99.48254 1
 
0.1%
-99.29934 1
 
0.1%
14.80676 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
-403.6335 1
0.1%
-345.5459 1
0.1%
-328.825 1
0.1%
-213.0395 1
0.1%
-203.2887 1
0.1%
ValueCountFrequency (%)
976.8693 1
0.1%
481.921 1
0.1%
370.7374 1
0.1%
350.5377 1
0.1%
210.1666 1
0.1%

colina_res1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean391.9528441
Minimum-21.04351
Maximum1359.459
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size8.1 KiB
2024-05-04T15:25:53.081616image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-21.04351
5-th percentile43.732456
Q1238.1053
median283.2906
Q3482.5563
95-th percentile820.0376
Maximum1359.459
Range1380.50251
Interquartile range (IQR)244.451

Descriptive statistics

Standard deviation283.78925
Coefficient of variation (CV)0.7240392672
Kurtosis3.665917517
Mean391.9528441
Median Absolute Deviation (MAD)114.1062
Skewness1.539352395
Sum11366.63248
Variance80536.33844
MonotonicityNot monotonic
2024-05-04T15:25:53.264254image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
251.7393 1
 
0.1%
282.1028 1
 
0.1%
592.7566 1
 
0.1%
207.4398 1
 
0.1%
342.0494 1
 
0.1%
586.9152 1
 
0.1%
37.0441 1
 
0.1%
482.0725 1
 
0.1%
283.2906 1
 
0.1%
397.3968 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
-21.04351 1
0.1%
37.0441 1
0.1%
53.76499 1
0.1%
169.5505 1
0.1%
179.3013 1
0.1%
ValueCountFrequency (%)
1359.459 1
0.1%
864.511 1
0.1%
753.3275 1
0.1%
733.1277 1
0.1%
592.7566 1
0.1%

res_omega3_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean0.0545595
Minimum-1.267701
Maximum4.159243
Zeros0
Zeros (%)0.0%
Negative21
Negative (%)2.1%
Memory size8.1 KiB
2024-05-04T15:25:53.434027image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.267701
5-th percentile-1.1609844
Q1-0.6124547
median-0.3383202
Q30.2617305
95-th percentile2.8738266
Maximum4.159243
Range5.426944
Interquartile range (IQR)0.8741852

Descriptive statistics

Standard deviation1.31553026
Coefficient of variation (CV)24.11184596
Kurtosis3.1267902
Mean0.0545595
Median Absolute Deviation (MAD)0.4458154
Skewness1.882302578
Sum1.5822255
Variance1.730619865
MonotonicityNot monotonic
2024-05-04T15:25:53.618759image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-0.5895702 1
 
0.1%
2.055018 1
 
0.1%
-0.4865913 1
 
0.1%
0.4768107 1
 
0.1%
-0.8307478 1
 
0.1%
3.186561 1
 
0.1%
0.4766062 1
 
0.1%
-0.2831329 1
 
0.1%
-0.7841356 1
 
0.1%
-0.5719087 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
-1.267701 1
0.1%
-1.18307 1
0.1%
-1.127856 1
0.1%
-0.8587847 1
0.1%
-0.8307478 1
0.1%
ValueCountFrequency (%)
4.159243 1
0.1%
3.186561 1
0.1%
2.404725 1
0.1%
2.055018 1
0.1%
1.034538 1
0.1%

omega3_res1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean1.590559472
Minimum0.2682992
Maximum5.695242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:53.791404image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.2682992
5-th percentile0.37501574
Q10.9235454
median1.19768
Q31.797731
95-th percentile4.4098266
Maximum5.695242
Range5.4269428
Interquartile range (IQR)0.8741856

Descriptive statistics

Standard deviation1.315530144
Coefficient of variation (CV)0.8270864226
Kurtosis3.126788526
Mean1.590559472
Median Absolute Deviation (MAD)0.4458156
Skewness1.882302325
Sum46.1262247
Variance1.73061956
MonotonicityNot monotonic
2024-05-04T15:25:53.961649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.9464298 1
 
0.1%
3.591018 1
 
0.1%
1.049409 1
 
0.1%
2.012811 1
 
0.1%
0.7052522 1
 
0.1%
4.722561 1
 
0.1%
2.012606 1
 
0.1%
1.252867 1
 
0.1%
0.7518644 1
 
0.1%
0.9640914 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
0.2682992 1
0.1%
0.3529303 1
0.1%
0.4081439 1
0.1%
0.6772153 1
0.1%
0.7052522 1
0.1%
ValueCountFrequency (%)
5.695242 1
0.1%
4.722561 1
0.1%
3.940725 1
0.1%
3.591018 1
0.1%
2.570538 1
0.1%

res_omega6_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean0.1869406138
Minimum-6.911264
Maximum32.83746
Zeros0
Zeros (%)0.0%
Negative23
Negative (%)2.2%
Memory size8.1 KiB
2024-05-04T15:25:54.114775image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-6.911264
5-th percentile-5.943552
Q1-3.742801
median-2.05372
Q3-0.3688876
95-th percentile12.454962
Maximum32.83746
Range39.748724
Interquartile range (IQR)3.3739134

Descriptive statistics

Standard deviation7.834442675
Coefficient of variation (CV)41.90872447
Kurtosis10.70224078
Mean0.1869406138
Median Absolute Deviation (MAD)1.689081
Skewness2.980422476
Sum5.4212778
Variance61.37849203
MonotonicityNot monotonic
2024-05-04T15:25:54.278122image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-5.174902 1
 
0.1%
9.329055 1
 
0.1%
-1.428554 1
 
0.1%
6.546343 1
 
0.1%
-6.037214 1
 
0.1%
3.275384 1
 
0.1%
-2.18364 1
 
0.1%
-3.125769 1
 
0.1%
-0.6835284 1
 
0.1%
-4.51228 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
-6.911264 1
0.1%
-6.037214 1
0.1%
-5.803059 1
0.1%
-5.174902 1
0.1%
-4.51228 1
0.1%
ValueCountFrequency (%)
32.83746 1
0.1%
14.5389 1
0.1%
9.329055 1
0.1%
6.546343 1
0.1%
3.947839 1
0.1%

omega6_res1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean9.028940207
Minimum1.930736
Maximum41.67946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:54.441137image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.930736
5-th percentile2.898448
Q15.099199
median6.78828
Q38.473112
95-th percentile21.29696
Maximum41.67946
Range39.748724
Interquartile range (IQR)3.373913

Descriptive statistics

Standard deviation7.834442355
Coefficient of variation (CV)0.8677034265
Kurtosis10.70224358
Mean9.028940207
Median Absolute Deviation (MAD)1.689081
Skewness2.980422871
Sum261.839266
Variance61.37848701
MonotonicityNot monotonic
2024-05-04T15:25:54.615781image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3.667098 1
 
0.1%
18.17105 1
 
0.1%
7.413446 1
 
0.1%
15.38834 1
 
0.1%
2.804786 1
 
0.1%
12.11738 1
 
0.1%
6.65836 1
 
0.1%
5.716231 1
 
0.1%
8.158472 1
 
0.1%
4.32972 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
1.930736 1
0.1%
2.804786 1
0.1%
3.038941 1
0.1%
3.667098 1
0.1%
4.32972 1
0.1%
ValueCountFrequency (%)
41.67946 1
0.1%
23.3809 1
0.1%
18.17105 1
0.1%
15.38834 1
0.1%
12.78984 1
0.1%

res_vitb2_r2
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing1000
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean0.01119473913
Minimum-11.98018
Maximum44.97623
Zeros0
Zeros (%)0.0%
Negative14
Negative (%)1.4%
Memory size8.1 KiB
2024-05-04T15:25:54.768368image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-11.98018
5-th percentile-10.0463982
Q1-3.9147335
median-1.773057
Q31.852474
95-th percentile5.4675994
Maximum44.97623
Range56.95641
Interquartile range (IQR)5.7672075

Descriptive statistics

Standard deviation10.7148202
Coefficient of variation (CV)957.1299588
Kurtosis15.25157643
Mean0.01119473913
Median Absolute Deviation (MAD)3.538198
Skewness3.53193092
Sum0.257479
Variance114.807372
MonotonicityNot monotonic
2024-05-04T15:25:54.939147image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.4389114 1
 
0.1%
-1.807674 1
 
0.1%
2.115156 1
 
0.1%
44.97623 1
 
0.1%
-1.724813 1
 
0.1%
5.689004 1
 
0.1%
1.014812 1
 
0.1%
1.765141 1
 
0.1%
-1.774392 1
 
0.1%
-3.541362 1
 
0.1%
Other values (13) 13
 
1.3%
(Missing) 1000
97.8%
ValueCountFrequency (%)
-11.98018 1
0.1%
-10.37367 1
0.1%
-7.100952 1
0.1%
-6.305656 1
0.1%
-6.153252 1
0.1%
ValueCountFrequency (%)
44.97623 1
0.1%
5.689004 1
0.1%
3.474958 1
0.1%
2.132464 1
0.1%
2.115156 1
0.1%

vitb12_r2_res2
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing1000
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean4.311194626
Minimum-7.680182
Maximum49.27623
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)0.5%
Memory size8.1 KiB
2024-05-04T15:25:55.132092image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-7.680182
5-th percentile-5.7463991
Q10.38526635
median2.526943
Q36.152474
95-th percentile9.7675994
Maximum49.27623
Range56.956412
Interquartile range (IQR)5.76720765

Descriptive statistics

Standard deviation10.71482035
Coefficient of variation (CV)2.485348326
Kurtosis15.25157568
Mean4.311194626
Median Absolute Deviation (MAD)3.538198
Skewness3.531930763
Sum99.1574764
Variance114.8073751
MonotonicityNot monotonic
2024-05-04T15:25:55.299194image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4.738911 1
 
0.1%
2.492326 1
 
0.1%
6.415156 1
 
0.1%
49.27623 1
 
0.1%
2.575187 1
 
0.1%
9.989004 1
 
0.1%
5.314812 1
 
0.1%
6.065141 1
 
0.1%
2.525609 1
 
0.1%
0.7586377 1
 
0.1%
Other values (13) 13
 
1.3%
(Missing) 1000
97.8%
ValueCountFrequency (%)
-7.680182 1
0.1%
-6.073671 1
0.1%
-2.800952 1
0.1%
-2.005656 1
0.1%
-1.853252 1
0.1%
ValueCountFrequency (%)
49.27623 1
0.1%
9.989004 1
0.1%
7.774958 1
0.1%
6.432464 1
0.1%
6.415156 1
0.1%

res_colina_r242
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean-6.765022534
Minimum-514.0403
Maximum1085.211
Zeros0
Zeros (%)0.0%
Negative30
Negative (%)2.9%
Memory size8.1 KiB
2024-05-04T15:25:55.470431image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-514.0403
5-th percentile-422.88605
Q1-258.058425
median-29.257445
Q3152.70115
95-th percentile541.07083
Maximum1085.211
Range1599.2513
Interquartile range (IQR)410.759575

Descriptive statistics

Standard deviation317.9822449
Coefficient of variation (CV)-47.00387077
Kurtosis1.306473097
Mean-6.765022534
Median Absolute Deviation (MAD)215.49435
Skewness0.88496814
Sum-392.371307
Variance101112.7081
MonotonicityNot monotonic
2024-05-04T15:25:55.656783image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.97759 1
 
0.1%
11.95224 1
 
0.1%
441.2959 1
 
0.1%
-313.0675 1
 
0.1%
98.14858 1
 
0.1%
-68.54734 1
 
0.1%
363.6073 1
 
0.1%
-396.2633 1
 
0.1%
135.4831 1
 
0.1%
525.4003 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
-514.0403 1
0.1%
-490.735 1
0.1%
-431.8867 1
0.1%
-421.2977 1
0.1%
-410.7857 1
0.1%
ValueCountFrequency (%)
1085.211 1
0.1%
693.6547 1
0.1%
629.8705 1
0.1%
525.4003 1
0.1%
441.2959 1
0.1%

colina_res2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean451.6349907
Minimum-55.64034
Maximum1543.611
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)0.2%
Memory size8.1 KiB
2024-05-04T15:25:55.855108image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-55.64034
5-th percentile35.513917
Q1200.341575
median429.1426
Q3611.10115
95-th percentile999.47099
Maximum1543.611
Range1599.25134
Interquartile range (IQR)410.759575

Descriptive statistics

Standard deviation317.9822861
Coefficient of variation (CV)0.7040691989
Kurtosis1.306472631
Mean451.6349907
Median Absolute Deviation (MAD)215.49435
Skewness0.8849682449
Sum26194.82946
Variance101112.7343
MonotonicityNot monotonic
2024-05-04T15:25:56.071279image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
483.3776 1
 
0.1%
470.3522 1
 
0.1%
899.6959 1
 
0.1%
145.3325 1
 
0.1%
556.5486 1
 
0.1%
389.8527 1
 
0.1%
822.0073 1
 
0.1%
62.13667 1
 
0.1%
593.8831 1
 
0.1%
983.8004 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
-55.64034 1
0.1%
-32.33495 1
0.1%
26.51325 1
0.1%
37.10227 1
0.1%
47.6143 1
0.1%
ValueCountFrequency (%)
1543.611 1
0.1%
1152.055 1
0.1%
1088.271 1
0.1%
983.8004 1
0.1%
899.6959 1
0.1%

res_omega3_r2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean0.004856336207
Minimum-0.8714064
Maximum3.937115
Zeros0
Zeros (%)0.0%
Negative39
Negative (%)3.8%
Memory size8.1 KiB
2024-05-04T15:25:56.277480image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.8714064
5-th percentile-0.77988057
Q1-0.601731175
median-0.2616903
Q30.2916703
95-th percentile1.79778015
Maximum3.937115
Range4.8085214
Interquartile range (IQR)0.893401475

Descriptive statistics

Standard deviation0.9889728792
Coefficient of variation (CV)203.6458839
Kurtosis7.182263241
Mean0.004856336207
Median Absolute Deviation (MAD)0.38068775
Skewness2.479325045
Sum0.2816675
Variance0.9780673559
MonotonicityNot monotonic
2024-05-04T15:25:56.483160image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.792236 1
 
0.1%
-0.6774681 1
 
0.1%
-0.603315 1
 
0.1%
-0.2809174 1
 
0.1%
0.0080125 1
 
0.1%
0.3508317 1
 
0.1%
-0.0669644 1
 
0.1%
-0.5281407 1
 
0.1%
-0.432258 1
 
0.1%
-0.2233592 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
-0.8714064 1
0.1%
-0.8441428 1
0.1%
-0.792236 1
0.1%
-0.7777002 1
0.1%
-0.7558444 1
0.1%
ValueCountFrequency (%)
3.937115 1
0.1%
3.874529 1
0.1%
2.26557 1
0.1%
1.715229 1
0.1%
1.176311 1
0.1%

omega3_res2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean1.275856376
Minimum0.3995936
Maximum5.208115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:56.663732image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.3995936
5-th percentile0.49111943
Q10.669268825
median1.0093098
Q31.5626705
95-th percentile3.0687793
Maximum5.208115
Range4.8085214
Interquartile range (IQR)0.893401675

Descriptive statistics

Standard deviation0.9889728645
Coefficient of variation (CV)0.7751443526
Kurtosis7.182263067
Mean1.275856376
Median Absolute Deviation (MAD)0.380688
Skewness2.479324924
Sum73.9996698
Variance0.9780673267
MonotonicityNot monotonic
2024-05-04T15:25:56.847551image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.478764 1
 
0.1%
0.5935319 1
 
0.1%
0.667685 1
 
0.1%
0.9900826 1
 
0.1%
1.279012 1
 
0.1%
1.621832 1
 
0.1%
1.204036 1
 
0.1%
0.7428594 1
 
0.1%
0.8387421 1
 
0.1%
1.047641 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
0.3995936 1
0.1%
0.4268572 1
0.1%
0.478764 1
0.1%
0.4932998 1
0.1%
0.5151556 1
0.1%
ValueCountFrequency (%)
5.208115 1
0.1%
5.145529 1
0.1%
3.53657 1
0.1%
2.986228 1
0.1%
2.447311 1
0.1%

res_omega6_r2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean0.03423866552
Minimum-6.187371
Maximum28.47702
Zeros0
Zeros (%)0.0%
Negative41
Negative (%)4.0%
Memory size8.1 KiB
2024-05-04T15:25:57.026902image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-6.187371
5-th percentile-4.61910945
Q1-3.48552
median-1.4732935
Q30.448823175
95-th percentile12.9532085
Maximum28.47702
Range34.664391
Interquartile range (IQR)3.934343175

Descriptive statistics

Standard deviation6.772932453
Coefficient of variation (CV)197.8153164
Kurtosis9.466424311
Mean0.03423866552
Median Absolute Deviation (MAD)1.99440715
Skewness2.988766431
Sum1.9858426
Variance45.87261401
MonotonicityNot monotonic
2024-05-04T15:25:57.221714image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.514151 1
 
0.1%
-4.182977 1
 
0.1%
-1.303911 1
 
0.1%
-2.237219 1
 
0.1%
6.712461 1
 
0.1%
2.317575 1
 
0.1%
-2.448611 1
 
0.1%
-1.245655 1
 
0.1%
-3.259231 1
 
0.1%
-0.7928331 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
-6.187371 1
0.1%
-5.573031 1
0.1%
-5.213874 1
0.1%
-4.514151 1
0.1%
-4.493254 1
0.1%
ValueCountFrequency (%)
28.47702 1
0.1%
26.13649 1
0.1%
21.62065 1
0.1%
11.42366 1
0.1%
6.712461 1
0.1%

omega6_res2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean8.204238621
Minimum1.982629
Maximum36.64702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:57.404292image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.982629
5-th percentile3.55089055
Q14.68448
median6.6967065
Q38.6188235
95-th percentile21.1232085
Maximum36.64702
Range34.664391
Interquartile range (IQR)3.9343435

Descriptive statistics

Standard deviation6.772932462
Coefficient of variation (CV)0.8255406473
Kurtosis9.466424328
Mean8.204238621
Median Absolute Deviation (MAD)1.994407
Skewness2.988766448
Sum475.84584
Variance45.87261413
MonotonicityNot monotonic
2024-05-04T15:25:57.585872image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.655849 1
 
0.1%
3.987023 1
 
0.1%
6.866088 1
 
0.1%
5.932781 1
 
0.1%
14.88246 1
 
0.1%
10.48757 1
 
0.1%
5.721389 1
 
0.1%
6.924345 1
 
0.1%
4.910769 1
 
0.1%
7.377167 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
1.982629 1
0.1%
2.596969 1
0.1%
2.956126 1
0.1%
3.655849 1
0.1%
3.676746 1
0.1%
ValueCountFrequency (%)
36.64702 1
0.1%
34.30649 1
0.1%
29.79065 1
0.1%
19.59366 1
0.1%
14.88246 1
0.1%

histidina_r1
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean1.452666667
Minimum0.41
Maximum2.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:57.753092image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.41
5-th percentile0.4935
Q11.04
median1.43
Q31.9575
95-th percentile2.4915
Maximum2.8
Range2.39
Interquartile range (IQR)0.9175

Descriptive statistics

Standard deviation0.6576024023
Coefficient of variation (CV)0.4526863715
Kurtosis-0.7678535229
Mean1.452666667
Median Absolute Deviation (MAD)0.525
Skewness0.1730126705
Sum43.58
Variance0.4324409195
MonotonicityNot monotonic
2024-05-04T15:25:57.916033image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2.25 1
 
0.1%
1.6 1
 
0.1%
1.95 1
 
0.1%
2.1 1
 
0.1%
0.72 1
 
0.1%
1.72 1
 
0.1%
2.8 1
 
0.1%
2.55 1
 
0.1%
1.47 1
 
0.1%
1.21 1
 
0.1%
Other values (20) 20
 
2.0%
(Missing) 993
97.1%
ValueCountFrequency (%)
0.41 1
0.1%
0.48 1
0.1%
0.51 1
0.1%
0.56 1
0.1%
0.66 1
0.1%
ValueCountFrequency (%)
2.8 1
0.1%
2.55 1
0.1%
2.42 1
0.1%
2.25 1
0.1%
2.24 1
0.1%

isoleucina_r1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)93.3%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean2.467333333
Minimum0.69
Maximum4.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:58.557414image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.69
5-th percentile0.9165
Q11.645
median2.555
Q33.23
95-th percentile4.3705
Maximum4.42
Range3.73
Interquartile range (IQR)1.585

Descriptive statistics

Standard deviation1.071399128
Coefficient of variation (CV)0.4342336375
Kurtosis-0.7384676987
Mean2.467333333
Median Absolute Deviation (MAD)0.82
Skewness0.1922110264
Sum74.02
Variance1.147896092
MonotonicityNot monotonic
2024-05-04T15:25:58.720831image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4.42 2
 
0.2%
2.64 2
 
0.2%
2.06 1
 
0.1%
2.69 1
 
0.1%
4.31 1
 
0.1%
3.02 1
 
0.1%
3.74 1
 
0.1%
1.34 1
 
0.1%
2.56 1
 
0.1%
3.33 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 993
97.1%
ValueCountFrequency (%)
0.69 1
0.1%
0.84 1
0.1%
1.01 1
0.1%
1.14 1
0.1%
1.21 1
0.1%
ValueCountFrequency (%)
4.42 2
0.2%
4.31 1
0.1%
3.84 1
0.1%
3.74 1
0.1%
3.47 1
0.1%

leucina_r1
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean4.124666667
Minimum1.41
Maximum7.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:58.885634image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.41
5-th percentile1.7115
Q12.87
median4.13
Q35.01
95-th percentile6.616
Maximum7.77
Range6.36
Interquartile range (IQR)2.14

Descriptive statistics

Standard deviation1.68458474
Coefficient of variation (CV)0.4084171829
Kurtosis-0.6669807455
Mean4.124666667
Median Absolute Deviation (MAD)1.25
Skewness0.2398502189
Sum123.74
Variance2.837825747
MonotonicityNot monotonic
2024-05-04T15:25:59.054227image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
6.67 1
 
0.1%
4.07 1
 
0.1%
5.02 1
 
0.1%
6.55 1
 
0.1%
2.71 1
 
0.1%
4.98 1
 
0.1%
7.77 1
 
0.1%
6.28 1
 
0.1%
4.11 1
 
0.1%
3.37 1
 
0.1%
Other values (20) 20
 
2.0%
(Missing) 993
97.1%
ValueCountFrequency (%)
1.41 1
0.1%
1.68 1
0.1%
1.75 1
0.1%
2.03 1
0.1%
2.05 1
0.1%
ValueCountFrequency (%)
7.77 1
0.1%
6.67 1
0.1%
6.55 1
0.1%
6.28 1
0.1%
6.23 1
0.1%

lisina_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean3.592
Minimum0.76
Maximum7.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:59.212529image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.76
5-th percentile1.1545
Q12.3025
median3.705
Q34.86
95-th percentile5.701
Maximum7.34
Range6.58
Interquartile range (IQR)2.5575

Descriptive statistics

Standard deviation1.608223265
Coefficient of variation (CV)0.447723626
Kurtosis-0.4281124824
Mean3.592
Median Absolute Deviation (MAD)1.28
Skewness0.111090956
Sum107.76
Variance2.586382069
MonotonicityNot monotonic
2024-05-04T15:25:59.366829image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1.79 2
 
0.2%
1.38 1
 
0.1%
4.89 1
 
0.1%
4.77 1
 
0.1%
5.1 1
 
0.1%
1.74 1
 
0.1%
4.25 1
 
0.1%
7.34 1
 
0.1%
5.42 1
 
0.1%
3.9 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 993
97.1%
ValueCountFrequency (%)
0.76 1
0.1%
0.97 1
0.1%
1.38 1
0.1%
1.66 1
0.1%
1.74 1
0.1%
ValueCountFrequency (%)
7.34 1
0.1%
5.71 1
0.1%
5.69 1
0.1%
5.42 1
0.1%
5.29 1
0.1%

metionina_r1
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)90.0%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean1.168333333
Minimum0.32
Maximum2.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:59.523075image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.32
5-th percentile0.4015
Q10.765
median1.225
Q31.375
95-th percentile1.851
Maximum2.45
Range2.13
Interquartile range (IQR)0.61

Descriptive statistics

Standard deviation0.5248059302
Coefficient of variation (CV)0.4491919517
Kurtosis-0.3166933569
Mean1.168333333
Median Absolute Deviation (MAD)0.455
Skewness0.2951763267
Sum35.05
Variance0.2754212644
MonotonicityNot monotonic
2024-05-04T15:25:59.678470image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.57 3
 
0.3%
1.31 2
 
0.2%
0.44 1
 
0.1%
1.14 1
 
0.1%
1.36 1
 
0.1%
1.86 1
 
0.1%
0.66 1
 
0.1%
1.29 1
 
0.1%
2.45 1
 
0.1%
1.83 1
 
0.1%
Other values (17) 17
 
1.7%
(Missing) 993
97.1%
ValueCountFrequency (%)
0.32 1
 
0.1%
0.37 1
 
0.1%
0.44 1
 
0.1%
0.57 3
0.3%
0.66 1
 
0.1%
ValueCountFrequency (%)
2.45 1
0.1%
1.86 1
0.1%
1.84 1
0.1%
1.83 1
0.1%
1.77 1
0.1%

fenilalanina_r1
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)93.3%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean2.2
Minimum0.81
Maximum3.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:25:59.827455image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.81
5-th percentile0.8845
Q11.56
median2.175
Q32.68
95-th percentile3.601
Maximum3.98
Range3.17
Interquartile range (IQR)1.12

Descriptive statistics

Standard deviation0.887095221
Coefficient of variation (CV)0.4032251004
Kurtosis-0.7224513579
Mean2.2
Median Absolute Deviation (MAD)0.6
Skewness0.1481860305
Sum66
Variance0.786937931
MonotonicityNot monotonic
2024-05-04T15:25:59.991669image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1.07 2
 
0.2%
2.68 2
 
0.2%
3.48 1
 
0.1%
3.33 1
 
0.1%
1.48 1
 
0.1%
2.46 1
 
0.1%
3.98 1
 
0.1%
3.7 1
 
0.1%
2.1 1
 
0.1%
1.87 1
 
0.1%
Other values (18) 18
 
1.8%
(Missing) 993
97.1%
ValueCountFrequency (%)
0.81 1
0.1%
0.88 1
0.1%
0.89 1
0.1%
0.99 1
0.1%
1.07 2
0.2%
ValueCountFrequency (%)
3.98 1
0.1%
3.7 1
0.1%
3.48 1
0.1%
3.35 1
0.1%
3.33 1
0.1%

treonina_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean2.271333333
Minimum0.65
Maximum6.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:00.149604image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.65
5-th percentile0.723
Q11.5375
median2.11
Q32.895
95-th percentile3.7295
Maximum6.21
Range5.56
Interquartile range (IQR)1.3575

Descriptive statistics

Standard deviation1.141860953
Coefficient of variation (CV)0.5027271588
Kurtosis3.667371774
Mean2.271333333
Median Absolute Deviation (MAD)0.68
Skewness1.319591543
Sum68.14
Variance1.303846437
MonotonicityNot monotonic
2024-05-04T15:26:00.296700image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2.11 2
 
0.2%
2.27 1
 
0.1%
3.04 1
 
0.1%
2.58 1
 
0.1%
3.09 1
 
0.1%
1.28 1
 
0.1%
2.38 1
 
0.1%
4.04 1
 
0.1%
2.82 1
 
0.1%
1.68 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 993
97.1%
ValueCountFrequency (%)
0.65 1
0.1%
0.66 1
0.1%
0.8 1
0.1%
0.98 1
0.1%
0.99 1
0.1%
ValueCountFrequency (%)
6.21 1
0.1%
4.04 1
0.1%
3.35 1
0.1%
3.34 1
0.1%
3.21 1
0.1%

triptofano_r1
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)83.3%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean0.5736666667
Minimum0.18
Maximum1.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:00.454269image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.18
5-th percentile0.2245
Q10.4225
median0.59
Q30.715
95-th percentile0.912
Maximum1.08
Range0.9
Interquartile range (IQR)0.2925

Descriptive statistics

Standard deviation0.2388692231
Coefficient of variation (CV)0.4163902785
Kurtosis-0.7778473657
Mean0.5736666667
Median Absolute Deviation (MAD)0.165
Skewness0.1510463453
Sum17.21
Variance0.05705850575
MonotonicityNot monotonic
2024-05-04T15:26:00.603138image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.59 3
 
0.3%
0.48 2
 
0.2%
0.68 2
 
0.2%
0.28 2
 
0.2%
0.7 1
 
0.1%
0.86 1
 
0.1%
0.66 1
 
0.1%
1.08 1
 
0.1%
0.88 1
 
0.1%
0.61 1
 
0.1%
Other values (15) 15
 
1.5%
(Missing) 993
97.1%
ValueCountFrequency (%)
0.18 1
0.1%
0.22 1
0.1%
0.23 1
0.1%
0.28 2
0.2%
0.29 1
0.1%
ValueCountFrequency (%)
1.08 1
0.1%
0.93 1
0.1%
0.89 1
0.1%
0.88 1
0.1%
0.86 1
0.1%

valina_r1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)96.7%
Missing993
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean2.640666667
Minimum0.92
Maximum5.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:00.756599image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.92
5-th percentile1.075
Q11.845
median2.675
Q33.26
95-th percentile4.2605
Maximum5.01
Range4.09
Interquartile range (IQR)1.415

Descriptive statistics

Standard deviation1.080076413
Coefficient of variation (CV)0.4090165663
Kurtosis-0.5923285501
Mean2.640666667
Median Absolute Deviation (MAD)0.825
Skewness0.2903320748
Sum79.22
Variance1.166565057
MonotonicityNot monotonic
2024-05-04T15:26:00.932196image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2.96 2
 
0.2%
2.74 1
 
0.1%
2.46 1
 
0.1%
3.34 1
 
0.1%
4.06 1
 
0.1%
1.75 1
 
0.1%
5.01 1
 
0.1%
4.09 1
 
0.1%
2.66 1
 
0.1%
2.24 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 993
97.1%
ValueCountFrequency (%)
0.92 1
0.1%
0.94 1
0.1%
1.24 1
0.1%
1.33 1
0.1%
1.35 1
0.1%
ValueCountFrequency (%)
5.01 1
0.1%
4.4 1
0.1%
4.09 1
0.1%
4.07 1
0.1%
4.06 1
0.1%

histidina_r2
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)89.8%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean1.538813559
Minimum0
Maximum3.08
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:01.135437image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.688
Q11.025
median1.5
Q32.04
95-th percentile2.961
Maximum3.08
Range3.08
Interquartile range (IQR)1.015

Descriptive statistics

Standard deviation0.6722070821
Coefficient of variation (CV)0.4368346497
Kurtosis-0.1821446251
Mean1.538813559
Median Absolute Deviation (MAD)0.52
Skewness0.3881011613
Sum90.79
Variance0.4518623612
MonotonicityNot monotonic
2024-05-04T15:26:01.332969image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.05 2
 
0.2%
1.06 2
 
0.2%
2.23 2
 
0.2%
0.69 2
 
0.2%
1.01 2
 
0.2%
1.43 2
 
0.2%
0.95 1
 
0.1%
1.27 1
 
0.1%
1.04 1
 
0.1%
2.02 1
 
0.1%
Other values (43) 43
 
4.2%
(Missing) 964
94.2%
ValueCountFrequency (%)
0 1
0.1%
0.54 1
0.1%
0.67 1
0.1%
0.69 2
0.2%
0.74 1
0.1%
ValueCountFrequency (%)
3.08 1
0.1%
3.01 1
0.1%
2.97 1
0.1%
2.96 1
0.1%
2.4 1
0.1%

isoleucina_r2
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)94.9%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean2.755084746
Minimum0.92
Maximum7.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:01.520080image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.92
5-th percentile1.229
Q11.795
median2.6
Q33.59
95-th percentile4.993
Maximum7.98
Range7.06
Interquartile range (IQR)1.795

Descriptive statistics

Standard deviation1.287351428
Coefficient of variation (CV)0.467263822
Kurtosis3.293834993
Mean2.755084746
Median Absolute Deviation (MAD)0.87
Skewness1.333258811
Sum162.55
Variance1.6572737
MonotonicityNot monotonic
2024-05-04T15:26:01.711494image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.07 2
 
0.2%
1.65 2
 
0.2%
3.59 2
 
0.2%
2.25 1
 
0.1%
3.63 1
 
0.1%
0.92 1
 
0.1%
3 1
 
0.1%
2.17 1
 
0.1%
4.02 1
 
0.1%
1.22 1
 
0.1%
Other values (46) 46
 
4.5%
(Missing) 964
94.2%
ValueCountFrequency (%)
0.92 1
0.1%
1.03 1
0.1%
1.22 1
0.1%
1.23 1
0.1%
1.25 1
0.1%
ValueCountFrequency (%)
7.98 1
0.1%
5.09 1
0.1%
5.02 1
0.1%
4.99 1
0.1%
4.81 1
0.1%

leucina_r2
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)93.2%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean4.649830508
Minimum1.43
Maximum10.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:01.908706image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.43
5-th percentile2.401
Q13.235
median4.7
Q35.875
95-th percentile7.783
Maximum10.12
Range8.69
Interquartile range (IQR)2.64

Descriptive statistics

Standard deviation1.840757426
Coefficient of variation (CV)0.3958762417
Kurtosis0.1628892235
Mean4.649830508
Median Absolute Deviation (MAD)1.38
Skewness0.6147606639
Sum274.34
Variance3.388387902
MonotonicityNot monotonic
2024-05-04T15:26:02.092184image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.41 3
 
0.3%
3.35 2
 
0.2%
2.83 2
 
0.2%
5.28 1
 
0.1%
5.96 1
 
0.1%
5.2 1
 
0.1%
3.44 1
 
0.1%
6.58 1
 
0.1%
2.32 1
 
0.1%
3.99 1
 
0.1%
Other values (45) 45
 
4.4%
(Missing) 964
94.2%
ValueCountFrequency (%)
1.43 1
 
0.1%
1.87 1
 
0.1%
2.32 1
 
0.1%
2.41 3
0.3%
2.43 1
 
0.1%
ValueCountFrequency (%)
10.12 1
0.1%
8.68 1
0.1%
8.17 1
0.1%
7.74 1
0.1%
7.61 1
0.1%

lisina_r2
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)96.6%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean3.844067797
Minimum1.34
Maximum8.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:02.261729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.34
5-th percentile1.57
Q12.34
median3.49
Q35
95-th percentile6.741
Maximum8.35
Range7.01
Interquartile range (IQR)2.66

Descriptive statistics

Standard deviation1.719522908
Coefficient of variation (CV)0.4473185694
Kurtosis-0.4431922505
Mean3.844067797
Median Absolute Deviation (MAD)1.21
Skewness0.5844823651
Sum226.8
Variance2.95675903
MonotonicityNot monotonic
2024-05-04T15:26:02.457254image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.96 2
 
0.2%
4.96 2
 
0.2%
4.48 1
 
0.1%
2.2 1
 
0.1%
2.43 1
 
0.1%
1.34 1
 
0.1%
4.11 1
 
0.1%
3.16 1
 
0.1%
5.92 1
 
0.1%
2.18 1
 
0.1%
Other values (47) 47
 
4.6%
(Missing) 964
94.2%
ValueCountFrequency (%)
1.34 1
0.1%
1.43 1
0.1%
1.48 1
0.1%
1.58 1
0.1%
1.75 1
0.1%
ValueCountFrequency (%)
8.35 1
0.1%
7.81 1
0.1%
6.84 1
0.1%
6.73 1
0.1%
6.33 1
0.1%

metionina_r2
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)83.1%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean1.318644068
Minimum0.42
Maximum2.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:02.648599image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.42
5-th percentile0.589
Q10.82
median1.23
Q31.68
95-th percentile2.368
Maximum2.51
Range2.09
Interquartile range (IQR)0.86

Descriptive statistics

Standard deviation0.5514947013
Coefficient of variation (CV)0.4182286296
Kurtosis-0.6699889376
Mean1.318644068
Median Absolute Deviation (MAD)0.42
Skewness0.5013307409
Sum77.8
Variance0.3041464056
MonotonicityNot monotonic
2024-05-04T15:26:02.830570image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.75 3
 
0.3%
1.43 2
 
0.2%
0.82 2
 
0.2%
1.37 2
 
0.2%
1.23 2
 
0.2%
0.95 2
 
0.2%
1.68 2
 
0.2%
0.86 2
 
0.2%
1.6 2
 
0.2%
2 1
 
0.1%
Other values (39) 39
 
3.8%
(Missing) 964
94.2%
ValueCountFrequency (%)
0.42 1
0.1%
0.56 1
0.1%
0.58 1
0.1%
0.59 1
0.1%
0.69 1
0.1%
ValueCountFrequency (%)
2.51 1
0.1%
2.48 1
0.1%
2.44 1
0.1%
2.36 1
0.1%
2.32 1
0.1%

fenilananina_r2
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)91.5%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean2.508305085
Minimum0.75
Maximum5.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:03.009371image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.75
5-th percentile1.183
Q11.75
median2.43
Q33.29
95-th percentile4.42
Maximum5.5
Range4.75
Interquartile range (IQR)1.54

Descriptive statistics

Standard deviation1.032957175
Coefficient of variation (CV)0.4118148074
Kurtosis0.147408681
Mean2.508305085
Median Absolute Deviation (MAD)0.82
Skewness0.6418243207
Sum147.99
Variance1.067000526
MonotonicityNot monotonic
2024-05-04T15:26:03.193709image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.28 2
 
0.2%
2.18 2
 
0.2%
3.44 2
 
0.2%
1.79 2
 
0.2%
2.43 2
 
0.2%
1.49 1
 
0.1%
1.12 1
 
0.1%
2.72 1
 
0.1%
2.06 1
 
0.1%
2.55 1
 
0.1%
Other values (44) 44
 
4.3%
(Missing) 964
94.2%
ValueCountFrequency (%)
0.75 1
0.1%
1.04 1
0.1%
1.12 1
0.1%
1.19 1
0.1%
1.23 1
0.1%
ValueCountFrequency (%)
5.5 1
0.1%
4.8 1
0.1%
4.69 1
0.1%
4.39 1
0.1%
4.16 1
0.1%

treonina_r2
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)89.8%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean2.813898305
Minimum0.29
Maximum13.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:03.368268image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.29
5-th percentile1.078
Q11.515
median2.4
Q33.32
95-th percentile5.46
Maximum13.04
Range12.75
Interquartile range (IQR)1.805

Descriptive statistics

Standard deviation1.985694543
Coefficient of variation (CV)0.7056738828
Kurtosis11.72630731
Mean2.813898305
Median Absolute Deviation (MAD)0.92
Skewness2.830125893
Sum166.02
Variance3.942982817
MonotonicityNot monotonic
2024-05-04T15:26:03.564375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.64 2
 
0.2%
2.4 2
 
0.2%
1.45 2
 
0.2%
1.08 2
 
0.2%
3.17 2
 
0.2%
2.26 2
 
0.2%
1.43 1
 
0.1%
2.74 1
 
0.1%
2.41 1
 
0.1%
2.51 1
 
0.1%
Other values (43) 43
 
4.2%
(Missing) 964
94.2%
ValueCountFrequency (%)
0.29 1
0.1%
0.96 1
0.1%
1.06 1
0.1%
1.08 2
0.2%
1.17 1
0.1%
ValueCountFrequency (%)
13.04 1
0.1%
7.72 1
0.1%
7.08 1
0.1%
5.28 1
0.1%
5.21 1
0.1%

triptofano_r2
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)78.0%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean0.6649152542
Minimum0.22
Maximum1.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:03.757599image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.22
5-th percentile0.309
Q10.45
median0.65
Q30.87
95-th percentile1.139
Maximum1.29
Range1.07
Interquartile range (IQR)0.42

Descriptive statistics

Standard deviation0.2646492336
Coefficient of variation (CV)0.3980194948
Kurtosis-0.5304070877
Mean0.6649152542
Median Absolute Deviation (MAD)0.21
Skewness0.4165667919
Sum39.23
Variance0.07003921683
MonotonicityNot monotonic
2024-05-04T15:26:03.950246image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.95 2
 
0.2%
0.71 2
 
0.2%
0.81 2
 
0.2%
0.92 2
 
0.2%
0.68 2
 
0.2%
0.52 2
 
0.2%
0.89 2
 
0.2%
0.32 2
 
0.2%
0.45 2
 
0.2%
0.96 2
 
0.2%
Other values (36) 39
 
3.8%
(Missing) 964
94.2%
ValueCountFrequency (%)
0.22 1
0.1%
0.27 1
0.1%
0.3 1
0.1%
0.31 1
0.1%
0.32 2
0.2%
ValueCountFrequency (%)
1.29 1
0.1%
1.24 1
0.1%
1.22 1
0.1%
1.13 1
0.1%
1.06 1
0.1%

valina_r2
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)89.8%
Missing964
Missing (%)94.2%
Infinite0
Infinite (%)0.0%
Mean2.997118644
Minimum0.96
Maximum6.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:04.127498image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.96
5-th percentile1.44
Q12.06
median2.98
Q33.905
95-th percentile5.116
Maximum6.65
Range5.69
Interquartile range (IQR)1.845

Descriptive statistics

Standard deviation1.220368869
Coefficient of variation (CV)0.4071807004
Kurtosis0.1151640096
Mean2.997118644
Median Absolute Deviation (MAD)0.95
Skewness0.6176749672
Sum176.83
Variance1.489300175
MonotonicityNot monotonic
2024-05-04T15:26:04.301538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.44 3
 
0.3%
4.29 2
 
0.2%
2.69 2
 
0.2%
3.2 2
 
0.2%
3.99 2
 
0.2%
3 1
 
0.1%
1.86 1
 
0.1%
3.3 1
 
0.1%
1.66 1
 
0.1%
1.91 1
 
0.1%
Other values (43) 43
 
4.2%
(Missing) 964
94.2%
ValueCountFrequency (%)
0.96 1
 
0.1%
1.17 1
 
0.1%
1.44 3
0.3%
1.48 1
 
0.1%
1.52 1
 
0.1%
ValueCountFrequency (%)
6.65 1
0.1%
5.51 1
0.1%
5.26 1
0.1%
5.1 1
0.1%
5 1
0.1%

res_dfe_r24h
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean-18.41207483
Minimum-315.2693
Maximum306.2421
Zeros0
Zeros (%)0.0%
Negative16
Negative (%)1.6%
Memory size8.1 KiB
2024-05-04T15:26:04.457235image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-315.2693
5-th percentile-267.47664
Q1-127.0654
median-74.08703
Q3110.5426
95-th percentile263.6826
Maximum306.2421
Range621.5114
Interquartile range (IQR)237.608

Descriptive statistics

Standard deviation167.6384101
Coefficient of variation (CV)-9.104808214
Kurtosis-0.747312251
Mean-18.41207483
Median Absolute Deviation (MAD)95.89877
Skewness0.2803715557
Sum-533.95017
Variance28102.63655
MonotonicityNot monotonic
2024-05-04T15:26:04.615526image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
151.0626 1
 
0.1%
-315.2693 1
 
0.1%
123.7376 1
 
0.1%
274.6166 1
 
0.1%
78.12595 1
 
0.1%
-120.6807 1
 
0.1%
15.98666 1
 
0.1%
-169.9858 1
 
0.1%
14.30119 1
 
0.1%
-96.34648 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
-315.2693 1
0.1%
-290.495 1
0.1%
-232.9491 1
0.1%
-169.9858 1
0.1%
-162.6347 1
0.1%
ValueCountFrequency (%)
306.2421 1
0.1%
274.6166 1
0.1%
247.2816 1
0.1%
212.153 1
0.1%
152.6933 1
0.1%

pct_1avmm
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)71.0%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean2.9
Minimum1.5
Maximum4.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:04.769805image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1.5
5-th percentile1.975
Q12.375
median2.9
Q33.3
95-th percentile4.025
Maximum4.9
Range3.4
Interquartile range (IQR)0.925

Descriptive statistics

Standard deviation0.7214568594
Coefficient of variation (CV)0.2487782274
Kurtosis0.7288353761
Mean2.9
Median Absolute Deviation (MAD)0.5
Skewness0.621136916
Sum89.9
Variance0.5205
MonotonicityNot monotonic
2024-05-04T15:26:04.926794image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3.3 4
 
0.4%
2.5 2
 
0.2%
2.2 2
 
0.2%
3 2
 
0.2%
2.4 2
 
0.2%
2.3 2
 
0.2%
2.9 2
 
0.2%
4.1 1
 
0.1%
1.5 1
 
0.1%
2 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 992
97.0%
ValueCountFrequency (%)
1.5 1
0.1%
1.95 1
0.1%
2 1
0.1%
2.2 2
0.2%
2.3 2
0.2%
ValueCountFrequency (%)
4.9 1
0.1%
4.1 1
0.1%
3.95 1
0.1%
3.9 1
0.1%
3.55 1
0.1%

AMB1
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean376.676471
Minimum251.9801
Maximum646.0137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:05.094722image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum251.9801
5-th percentile277.1288
Q1320.8058
median361.6721
Q3404.45805
95-th percentile508.3841
Maximum646.0137
Range394.0336
Interquartile range (IQR)83.65225

Descriptive statistics

Standard deviation82.3492783
Coefficient of variation (CV)0.2186207121
Kurtosis2.640047228
Mean376.676471
Median Absolute Deviation (MAD)41.6429
Skewness1.35902621
Sum11676.9706
Variance6781.403636
MonotonicityNot monotonic
2024-05-04T15:26:05.259942image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
273.7701 1
 
0.1%
350.8983 1
 
0.1%
364.3701 1
 
0.1%
401.8774 1
 
0.1%
363.8633 1
 
0.1%
518.6697 1
 
0.1%
305.8469 1
 
0.1%
467.9746 1
 
0.1%
317.5011 1
 
0.1%
407.0387 1
 
0.1%
Other values (21) 21
 
2.1%
(Missing) 992
97.0%
ValueCountFrequency (%)
251.9801 1
0.1%
273.7701 1
0.1%
280.4875 1
0.1%
293.5301 1
0.1%
305.8469 1
0.1%
ValueCountFrequency (%)
646.0137 1
0.1%
518.6697 1
0.1%
498.0985 1
0.1%
495.5147 1
0.1%
467.9746 1
0.1%

AMB2
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)100.0%
Missing992
Missing (%)97.0%
Infinite0
Infinite (%)0.0%
Mean23.47489226
Minimum13.55189
Maximum44.90802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:05.425294image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum13.55189
5-th percentile15.553155
Q119.02886
median22.28089
Q325.685675
95-th percentile33.95583
Maximum44.90802
Range31.35613
Interquartile range (IQR)6.656815

Descriptive statistics

Standard deviation6.553132447
Coefficient of variation (CV)0.2791549531
Kurtosis2.640048128
Mean23.47489226
Median Absolute Deviation (MAD)3.31383
Skewness1.359026042
Sum727.72166
Variance42.94354487
MonotonicityNot monotonic
2024-05-04T15:26:05.582230image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
15.28588 1
 
0.1%
21.42354 1
 
0.1%
22.49558 1
 
0.1%
25.48031 1
 
0.1%
22.45525 1
 
0.1%
34.77433 1
 
0.1%
17.83847 1
 
0.1%
30.74015 1
 
0.1%
18.76587 1
 
0.1%
25.89104 1
 
0.1%
Other values (21) 21
 
2.1%
(Missing) 992
97.0%
ValueCountFrequency (%)
13.55189 1
0.1%
15.28588 1
0.1%
15.82043 1
0.1%
16.85833 1
0.1%
17.83847 1
0.1%
ValueCountFrequency (%)
44.90802 1
0.1%
34.77433 1
0.1%
33.13733 1
0.1%
32.93171 1
0.1%
30.74015 1
0.1%

ev_cons_prot1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean1.148688128
Minimum0.5161189
Maximum2.008929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:05.739107image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.5161189
5-th percentile0.64625108
Q10.8611917
median1.010488
Q31.409953
95-th percentile1.9040502
Maximum2.008929
Range1.4928101
Interquartile range (IQR)0.5487613

Descriptive statistics

Standard deviation0.4215411074
Coefficient of variation (CV)0.3669761159
Kurtosis-0.6809181955
Mean1.148688128
Median Absolute Deviation (MAD)0.268266
Skewness0.5948712501
Sum33.3119557
Variance0.1776969052
MonotonicityNot monotonic
2024-05-04T15:26:05.909945image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.9891956 1
 
0.1%
1.175672 1
 
0.1%
1.684912 1
 
0.1%
1.010488 1
 
0.1%
1.146094 1
 
0.1%
1.942843 1
 
0.1%
1.519922 1
 
0.1%
0.88 1
 
0.1%
1.19918 1
 
0.1%
0.8611917 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
0.5161189 1
0.1%
0.6366964 1
0.1%
0.6605831 1
0.1%
0.6856537 1
0.1%
0.6944088 1
0.1%
ValueCountFrequency (%)
2.008929 1
0.1%
1.942843 1
0.1%
1.845861 1
0.1%
1.724498 1
0.1%
1.684912 1
0.1%

res_dfe_r24
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean-18.41207483
Minimum-315.2693
Maximum306.2421
Zeros0
Zeros (%)0.0%
Negative16
Negative (%)1.6%
Memory size8.1 KiB
2024-05-04T15:26:06.084405image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-315.2693
5-th percentile-267.47664
Q1-127.0654
median-74.08703
Q3110.5426
95-th percentile263.6826
Maximum306.2421
Range621.5114
Interquartile range (IQR)237.608

Descriptive statistics

Standard deviation167.6384101
Coefficient of variation (CV)-9.104808214
Kurtosis-0.747312251
Mean-18.41207483
Median Absolute Deviation (MAD)95.89877
Skewness0.2803715557
Sum-533.95017
Variance28102.63655
MonotonicityNot monotonic
2024-05-04T15:26:06.752465image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
151.0626 1
 
0.1%
-315.2693 1
 
0.1%
123.7376 1
 
0.1%
274.6166 1
 
0.1%
78.12595 1
 
0.1%
-120.6807 1
 
0.1%
15.98666 1
 
0.1%
-169.9858 1
 
0.1%
14.30119 1
 
0.1%
-96.34648 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
-315.2693 1
0.1%
-290.495 1
0.1%
-232.9491 1
0.1%
-169.9858 1
0.1%
-162.6347 1
0.1%
ValueCountFrequency (%)
306.2421 1
0.1%
274.6166 1
0.1%
247.2816 1
0.1%
212.153 1
0.1%
152.6933 1
0.1%

dfe_r24h_res1
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean394.1879348
Minimum97.33071
Maximum718.8421
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:06.912268image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum97.33071
5-th percentile145.12336
Q1285.5346
median338.513
Q3523.1426
95-th percentile676.2826
Maximum718.8421
Range621.51139
Interquartile range (IQR)237.608

Descriptive statistics

Standard deviation167.6384139
Coefficient of variation (CV)0.4252753549
Kurtosis-0.7473124935
Mean394.1879348
Median Absolute Deviation (MAD)95.8988
Skewness0.2803714717
Sum11431.45011
Variance28102.63781
MonotonicityNot monotonic
2024-05-04T15:26:07.074167image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
563.6627 1
 
0.1%
97.33071 1
 
0.1%
536.3376 1
 
0.1%
687.2166 1
 
0.1%
490.726 1
 
0.1%
291.9193 1
 
0.1%
428.5867 1
 
0.1%
242.6142 1
 
0.1%
426.9012 1
 
0.1%
316.2535 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
97.33071 1
0.1%
122.105 1
0.1%
179.6509 1
0.1%
242.6142 1
0.1%
249.9653 1
0.1%
ValueCountFrequency (%)
718.8421 1
0.1%
687.2166 1
0.1%
659.8816 1
0.1%
624.753 1
0.1%
565.2933 1
0.1%

ev_dfe_r1
Real number (ℝ)

CONSTANT  MISSING 

Distinct1
Distinct (%)3.4%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:07.217874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum29
Variance0
MonotonicityIncreasing
2024-05-04T15:26:07.343219image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 29
 
2.8%
(Missing) 994
97.2%
ValueCountFrequency (%)
1 29
2.8%
ValueCountFrequency (%)
1 29
2.8%

res_dfe_r24h2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean83.36191379
Minimum-5148.827
Maximum271723
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)5.6%
Memory size8.1 KiB
2024-05-04T15:26:07.494453image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-5148.827
5-th percentile-5021.70125
Q1-4852.24275
median-4725.7845
Q3-4567.3485
95-th percentile-4051.85515
Maximum271723
Range276871.827
Interquartile range (IQR)284.89425

Descriptive statistics

Standard deviation36294.9469
Coefficient of variation (CV)435.390039
Kurtosis57.99218753
Mean83.36191379
Median Absolute Deviation (MAD)144.0595
Skewness7.615017663
Sum4834.991
Variance1317323171
MonotonicityNot monotonic
2024-05-04T15:26:07.680768image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5103.203 1
 
0.1%
-4795.029 1
 
0.1%
-4564.705 1
 
0.1%
-5148.827 1
 
0.1%
-4727.607 1
 
0.1%
-4990.333 1
 
0.1%
-4965.716 1
 
0.1%
-4436.175 1
 
0.1%
-4853.223 1
 
0.1%
-4644.943 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
-5148.827 1
0.1%
-5103.203 1
0.1%
-5083.135 1
0.1%
-5010.86 1
0.1%
-4990.333 1
0.1%
ValueCountFrequency (%)
271723 1
0.1%
-3529.747 1
0.1%
-3813.465 1
0.1%
-4093.924 1
0.1%
-4160.948 1
0.1%

dfe_r24h2_res2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean577.5619828
Minimum-4654.627
Maximum272217.2
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)5.6%
Memory size8.1 KiB
2024-05-04T15:26:07.874986image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-4654.627
5-th percentile-4527.50125
Q1-4358.04275
median-4231.5845
Q3-4073.1485
95-th percentile-3557.65515
Maximum272217.2
Range276871.827
Interquartile range (IQR)284.89425

Descriptive statistics

Standard deviation36294.94689
Coefficient of variation (CV)62.84164813
Kurtosis57.99218753
Mean577.5619828
Median Absolute Deviation (MAD)144.059
Skewness7.615017663
Sum33498.595
Variance1317323170
MonotonicityNot monotonic
2024-05-04T15:26:08.057627image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4609.003 1
 
0.1%
-4300.829 1
 
0.1%
-4070.505 1
 
0.1%
-4654.627 1
 
0.1%
-4233.407 1
 
0.1%
-4496.133 1
 
0.1%
-4471.516 1
 
0.1%
-3941.975 1
 
0.1%
-4359.023 1
 
0.1%
-4150.743 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
-4654.627 1
0.1%
-4609.003 1
0.1%
-4588.935 1
0.1%
-4516.66 1
0.1%
-4496.133 1
0.1%
ValueCountFrequency (%)
272217.2 1
0.1%
-3035.547 1
0.1%
-3319.265 1
0.1%
-3599.724 1
0.1%
-3666.748 1
0.1%

dfe_r24h_r2_res2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean577.5619828
Minimum-4654.627
Maximum272217.2
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)5.6%
Memory size8.1 KiB
2024-05-04T15:26:08.246382image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-4654.627
5-th percentile-4527.50125
Q1-4358.04275
median-4231.5845
Q3-4073.1485
95-th percentile-3557.65515
Maximum272217.2
Range276871.827
Interquartile range (IQR)284.89425

Descriptive statistics

Standard deviation36294.94689
Coefficient of variation (CV)62.84164813
Kurtosis57.99218753
Mean577.5619828
Median Absolute Deviation (MAD)144.059
Skewness7.615017663
Sum33498.595
Variance1317323170
MonotonicityNot monotonic
2024-05-04T15:26:08.433324image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4609.003 1
 
0.1%
-4300.829 1
 
0.1%
-4070.505 1
 
0.1%
-4654.627 1
 
0.1%
-4233.407 1
 
0.1%
-4496.133 1
 
0.1%
-4471.516 1
 
0.1%
-3941.975 1
 
0.1%
-4359.023 1
 
0.1%
-4150.743 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
-4654.627 1
0.1%
-4609.003 1
0.1%
-4588.935 1
0.1%
-4516.66 1
0.1%
-4496.133 1
0.1%
ValueCountFrequency (%)
272217.2 1
0.1%
-3035.547 1
0.1%
-3319.265 1
0.1%
-3599.724 1
0.1%
-3666.748 1
0.1%

res_dfe_r24hr2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean83.36191379
Minimum-5148.827
Maximum271723
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)5.6%
Memory size8.1 KiB
2024-05-04T15:26:08.616681image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-5148.827
5-th percentile-5021.70125
Q1-4852.24275
median-4725.7845
Q3-4567.3485
95-th percentile-4051.85515
Maximum271723
Range276871.827
Interquartile range (IQR)284.89425

Descriptive statistics

Standard deviation36294.9469
Coefficient of variation (CV)435.390039
Kurtosis57.99218753
Mean83.36191379
Median Absolute Deviation (MAD)144.0595
Skewness7.615017663
Sum4834.991
Variance1317323171
MonotonicityNot monotonic
2024-05-04T15:26:08.796914image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5103.203 1
 
0.1%
-4795.029 1
 
0.1%
-4564.705 1
 
0.1%
-5148.827 1
 
0.1%
-4727.607 1
 
0.1%
-4990.333 1
 
0.1%
-4965.716 1
 
0.1%
-4436.175 1
 
0.1%
-4853.223 1
 
0.1%
-4644.943 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
-5148.827 1
0.1%
-5103.203 1
0.1%
-5083.135 1
0.1%
-5010.86 1
0.1%
-4990.333 1
0.1%
ValueCountFrequency (%)
271723 1
0.1%
-3529.747 1
0.1%
-3813.465 1
0.1%
-4093.924 1
0.1%
-4160.948 1
0.1%

dfe_r24h2_resr2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean577.5619828
Minimum-4654.627
Maximum272217.2
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)5.6%
Memory size8.1 KiB
2024-05-04T15:26:08.975621image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-4654.627
5-th percentile-4527.50125
Q1-4358.04275
median-4231.5845
Q3-4073.1485
95-th percentile-3557.65515
Maximum272217.2
Range276871.827
Interquartile range (IQR)284.89425

Descriptive statistics

Standard deviation36294.94689
Coefficient of variation (CV)62.84164813
Kurtosis57.99218753
Mean577.5619828
Median Absolute Deviation (MAD)144.059
Skewness7.615017663
Sum33498.595
Variance1317323170
MonotonicityNot monotonic
2024-05-04T15:26:09.152725image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4609.003 1
 
0.1%
-4300.829 1
 
0.1%
-4070.505 1
 
0.1%
-4654.627 1
 
0.1%
-4233.407 1
 
0.1%
-4496.133 1
 
0.1%
-4471.516 1
 
0.1%
-3941.975 1
 
0.1%
-4359.023 1
 
0.1%
-4150.743 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
-4654.627 1
0.1%
-4609.003 1
0.1%
-4588.935 1
0.1%
-4516.66 1
0.1%
-4496.133 1
0.1%
ValueCountFrequency (%)
272217.2 1
0.1%
-3035.547 1
0.1%
-3319.265 1
0.1%
-3599.724 1
0.1%
-3666.748 1
0.1%

dfe_r2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean5244.781379
Minimum115.55
Maximum276887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:09.328403image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum115.55
5-th percentile203.527
Q1320.495
median424.38
Q3573.35
95-th percentile1044.5705
Maximum276887
Range276771.45
Interquartile range (IQR)252.855

Descriptive statistics

Standard deviation36295.0428
Coefficient of variation (CV)6.920220343
Kurtosis57.99386367
Mean5244.781379
Median Absolute Deviation (MAD)117.63
Skewness7.615179709
Sum304197.32
Variance1317330132
MonotonicityNot monotonic
2024-05-04T15:26:09.506476image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
144.01 1
 
0.1%
387.7 1
 
0.1%
569.9 1
 
0.1%
115.55 1
 
0.1%
316.16 1
 
0.1%
254 1
 
0.1%
246.3 1
 
0.1%
762.89 1
 
0.1%
352.44 1
 
0.1%
485.49 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
115.55 1
0.1%
132.73 1
0.1%
144.01 1
0.1%
214.03 1
0.1%
245.02 1
0.1%
ValueCountFrequency (%)
276887 1
0.1%
1504.11 1
0.1%
1240.47 1
0.1%
1010 1
0.1%
979.15 1
0.1%

res_dfe_r2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean83.36191379
Minimum-5148.827
Maximum271723
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)5.6%
Memory size8.1 KiB
2024-05-04T15:26:09.686234image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-5148.827
5-th percentile-5021.70125
Q1-4852.24275
median-4725.7845
Q3-4567.3485
95-th percentile-4051.85515
Maximum271723
Range276871.827
Interquartile range (IQR)284.89425

Descriptive statistics

Standard deviation36294.9469
Coefficient of variation (CV)435.390039
Kurtosis57.99218753
Mean83.36191379
Median Absolute Deviation (MAD)144.0595
Skewness7.615017663
Sum4834.991
Variance1317323171
MonotonicityNot monotonic
2024-05-04T15:26:09.876918image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5103.203 1
 
0.1%
-4795.029 1
 
0.1%
-4564.705 1
 
0.1%
-5148.827 1
 
0.1%
-4727.607 1
 
0.1%
-4990.333 1
 
0.1%
-4965.716 1
 
0.1%
-4436.175 1
 
0.1%
-4853.223 1
 
0.1%
-4644.943 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
-5148.827 1
0.1%
-5103.203 1
0.1%
-5083.135 1
0.1%
-5010.86 1
0.1%
-4990.333 1
0.1%
ValueCountFrequency (%)
271723 1
0.1%
-3529.747 1
0.1%
-3813.465 1
0.1%
-4093.924 1
0.1%
-4160.948 1
0.1%

dfe_res2
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing965
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean577.5619828
Minimum-4654.627
Maximum272217.2
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)5.6%
Memory size8.1 KiB
2024-05-04T15:26:10.059567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-4654.627
5-th percentile-4527.50125
Q1-4358.04275
median-4231.5845
Q3-4073.1485
95-th percentile-3557.65515
Maximum272217.2
Range276871.827
Interquartile range (IQR)284.89425

Descriptive statistics

Standard deviation36294.94689
Coefficient of variation (CV)62.84164813
Kurtosis57.99218753
Mean577.5619828
Median Absolute Deviation (MAD)144.059
Skewness7.615017663
Sum33498.595
Variance1317323170
MonotonicityNot monotonic
2024-05-04T15:26:10.237628image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4609.003 1
 
0.1%
-4300.829 1
 
0.1%
-4070.505 1
 
0.1%
-4654.627 1
 
0.1%
-4233.407 1
 
0.1%
-4496.133 1
 
0.1%
-4471.516 1
 
0.1%
-3941.975 1
 
0.1%
-4359.023 1
 
0.1%
-4150.743 1
 
0.1%
Other values (48) 48
 
4.7%
(Missing) 965
94.3%
ValueCountFrequency (%)
-4654.627 1
0.1%
-4609.003 1
0.1%
-4588.935 1
0.1%
-4516.66 1
0.1%
-4496.133 1
0.1%
ValueCountFrequency (%)
272217.2 1
0.1%
-3035.547 1
0.1%
-3319.265 1
0.1%
-3599.724 1
0.1%
-3666.748 1
0.1%

res_ffq_dfe
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean5.967404483
Minimum-356.0703
Maximum1147.099
Zeros0
Zeros (%)0.0%
Negative16
Negative (%)1.6%
Memory size8.1 KiB
2024-05-04T15:26:10.397043image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-356.0703
5-th percentile-332.48598
Q1-238.2044
median-42.10248
Q3138.2061
95-th percentile642.95182
Maximum1147.099
Range1503.1693
Interquartile range (IQR)376.4105

Descriptive statistics

Standard deviation345.2235715
Coefficient of variation (CV)57.85154542
Kurtosis3.353428584
Mean5.967404483
Median Absolute Deviation (MAD)192.22772
Skewness1.658908419
Sum173.05473
Variance119179.3143
MonotonicityNot monotonic
2024-05-04T15:26:10.564958image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1147.099 1
 
0.1%
-179.6159 1
 
0.1%
210.6813 1
 
0.1%
-157.4854 1
 
0.1%
58.44171 1
 
0.1%
-314.6751 1
 
0.1%
-234.3302 1
 
0.1%
127.0933 1
 
0.1%
-356.0703 1
 
0.1%
-42.10248 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
-356.0703 1
0.1%
-337.3765 1
0.1%
-325.1502 1
0.1%
-314.6751 1
0.1%
-290.5927 1
0.1%
ValueCountFrequency (%)
1147.099 1
0.1%
745.3289 1
0.1%
489.3862 1
0.1%
314.6154 1
0.1%
264.8136 1
0.1%

dfe_ffq_res
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean754.9674034
Minimum392.9297
Maximum1896.099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:10.728914image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum392.9297
5-th percentile416.51402
Q1510.7956
median706.8975
Q3887.2062
95-th percentile1391.9518
Maximum1896.099
Range1503.1693
Interquartile range (IQR)376.4106

Descriptive statistics

Standard deviation345.2235666
Coefficient of variation (CV)0.4572694994
Kurtosis3.353429141
Mean754.9674034
Median Absolute Deviation (MAD)192.2277
Skewness1.658908503
Sum21894.0547
Variance119179.3109
MonotonicityNot monotonic
2024-05-04T15:26:10.895194image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1896.099 1
 
0.1%
569.3842 1
 
0.1%
959.6813 1
 
0.1%
591.5146 1
 
0.1%
807.4417 1
 
0.1%
434.3249 1
 
0.1%
514.6698 1
 
0.1%
876.0933 1
 
0.1%
392.9297 1
 
0.1%
706.8975 1
 
0.1%
Other values (19) 19
 
1.9%
(Missing) 994
97.2%
ValueCountFrequency (%)
392.9297 1
0.1%
411.6235 1
0.1%
423.8498 1
0.1%
434.3249 1
0.1%
458.4073 1
0.1%
ValueCountFrequency (%)
1896.099 1
0.1%
1494.329 1
0.1%
1238.386 1
0.1%
1063.615 1
0.1%
1013.814 1
0.1%

ev_dfe_ffq
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)6.9%
Missing994
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean0.5517241379
Minimum0
Maximum1
Zeros13
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:11.048924image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5061201789
Coefficient of variation (CV)0.9173428242
Kurtosis-2.102071006
Mean0.5517241379
Median Absolute Deviation (MAD)0
Skewness-0.2195350349
Sum16
Variance0.2561576355
MonotonicityNot monotonic
2024-05-04T15:26:11.198162image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 16
 
1.6%
0 13
 
1.3%
(Missing) 994
97.2%
ValueCountFrequency (%)
0 13
1.3%
1 16
1.6%
ValueCountFrequency (%)
1 16
1.6%
0 13
1.3%

res_ddfe_r24h2
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean3.741227727
Minimum-321.64
Maximum514.625
Zeros0
Zeros (%)0.0%
Negative14
Negative (%)1.4%
Memory size8.1 KiB
2024-05-04T15:26:11.343428image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-321.64
5-th percentile-316.59505
Q1-138.236
median-30.93225
Q370.88645
95-th percentile443.4613
Maximum514.625
Range836.265
Interquartile range (IQR)209.12245

Descriptive statistics

Standard deviation241.544825
Coefficient of variation (CV)64.56298375
Kurtosis-0.05279654353
Mean3.741227727
Median Absolute Deviation (MAD)115.7061
Skewness0.7579209719
Sum82.30701
Variance58343.90246
MonotonicityNot monotonic
2024-05-04T15:26:11.487331image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-321.64 1
 
0.1%
19.9682 1
 
0.1%
16.0726 1
 
0.1%
87.8592 1
 
0.1%
361.552 1
 
0.1%
-156.954 1
 
0.1%
514.625 1
 
0.1%
-317.639 1
 
0.1%
-7.85622 1
 
0.1%
-32.583 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
-321.64 1
0.1%
-317.639 1
0.1%
-296.76 1
0.1%
-269.5 1
0.1%
-156.954 1
0.1%
ValueCountFrequency (%)
514.625 1
0.1%
445.963 1
0.1%
395.929 1
0.1%
361.552 1
0.1%
152.933 1
0.1%

dfe_dfe_r24h2_res2
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean497.9414091
Minimum172.56
Maximum1008.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:11.668560image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum172.56
5-th percentile177.60495
Q1355.96375
median463.2675
Q3565.08625
95-th percentile937.6613
Maximum1008.83
Range836.27
Interquartile range (IQR)209.1225

Descriptive statistics

Standard deviation241.5454301
Coefficient of variation (CV)0.4850880559
Kurtosis-0.05278041065
Mean497.9414091
Median Absolute Deviation (MAD)115.706
Skewness0.7579285505
Sum10954.711
Variance58344.19479
MonotonicityNot monotonic
2024-05-04T15:26:11.817629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
172.56 1
 
0.1%
514.168 1
 
0.1%
510.273 1
 
0.1%
582.059 1
 
0.1%
855.753 1
 
0.1%
337.246 1
 
0.1%
1008.83 1
 
0.1%
176.561 1
 
0.1%
486.344 1
 
0.1%
461.617 1
 
0.1%
Other values (12) 12
 
1.2%
(Missing) 1001
97.8%
ValueCountFrequency (%)
172.56 1
0.1%
176.561 1
0.1%
197.44 1
0.1%
224.7 1
0.1%
337.246 1
0.1%
ValueCountFrequency (%)
1008.83 1
0.1%
940.163 1
0.1%
890.129 1
0.1%
855.753 1
0.1%
647.133 1
0.1%

ev_dfe_r2
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)9.1%
Missing1001
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean0.8181818182
Minimum0
Maximum1
Zeros4
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:11.953298image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.394771017
Coefficient of variation (CV)0.4824979096
Kurtosis1.249561404
Mean0.8181818182
Median Absolute Deviation (MAD)0
Skewness-1.773179818
Sum18
Variance0.1558441558
MonotonicityNot monotonic
2024-05-04T15:26:12.108964image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 18
 
1.8%
0 4
 
0.4%
(Missing) 1001
97.8%
ValueCountFrequency (%)
0 4
 
0.4%
1 18
1.8%
ValueCountFrequency (%)
1 18
1.8%
0 4
 
0.4%

_merge3
Text

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:12.260226image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length14.52981427
Min length1

Characters and Unicode

Total characters14864
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowusing only (2)
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
only 943
31.7%
master 942
31.7%
1 942
31.7%
matched 64
 
2.2%
3 64
 
2.2%
16
 
0.5%
using 1
 
< 0.1%
2 1
 
< 0.1%
2024-05-04T15:26:12.591189image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1950
13.1%
( 1007
 
6.8%
) 1007
 
6.8%
a 1006
 
6.8%
m 1006
 
6.8%
t 1006
 
6.8%
e 1006
 
6.8%
n 944
 
6.4%
o 943
 
6.3%
l 943
 
6.3%
Other values (13) 4046
27.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 14864
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1950
13.1%
( 1007
 
6.8%
) 1007
 
6.8%
a 1006
 
6.8%
m 1006
 
6.8%
t 1006
 
6.8%
e 1006
 
6.8%
n 944
 
6.4%
o 943
 
6.3%
l 943
 
6.3%
Other values (13) 4046
27.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 14864
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1950
13.1%
( 1007
 
6.8%
) 1007
 
6.8%
a 1006
 
6.8%
m 1006
 
6.8%
t 1006
 
6.8%
e 1006
 
6.8%
n 944
 
6.4%
o 943
 
6.3%
l 943
 
6.3%
Other values (13) 4046
27.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 14864
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1950
13.1%
( 1007
 
6.8%
) 1007
 
6.8%
a 1006
 
6.8%
m 1006
 
6.8%
t 1006
 
6.8%
e 1006
 
6.8%
n 944
 
6.4%
o 943
 
6.3%
l 943
 
6.3%
Other values (13) 4046
27.2%

rs1627238_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing25
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean0.6152304609
Minimum0
Maximum2
Zeros473
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:12.751728image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6445890023
Coefficient of variation (CV)1.047719584
Kurtosis-0.644220101
Mean0.6152304609
Median Absolute Deviation (MAD)1
Skewness0.5667145827
Sum614
Variance0.4154949819
MonotonicityNot monotonic
2024-05-04T15:26:12.927848image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 473
46.2%
1 436
42.6%
2 89
 
8.7%
(Missing) 25
 
2.4%
ValueCountFrequency (%)
0 473
46.2%
1 436
42.6%
2 89
 
8.7%
ValueCountFrequency (%)
2 89
 
8.7%
1 436
42.6%
0 473
46.2%

rs1171278_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.6177644711
Minimum0
Maximum2
Zeros472
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:13.110937image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6435756388
Coefficient of variation (CV)1.041781567
Kurtosis-0.6479227433
Mean0.6177644711
Median Absolute Deviation (MAD)1
Skewness0.5572241414
Sum619
Variance0.4141896028
MonotonicityNot monotonic
2024-05-04T15:26:13.288388image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 472
46.1%
1 441
43.1%
2 89
 
8.7%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 472
46.1%
1 441
43.1%
2 89
 
8.7%
ValueCountFrequency (%)
2 89
 
8.7%
1 441
43.1%
0 472
46.1%

rs1137100_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing25
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean0.620240481
Minimum0
Maximum2
Zeros475
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:13.428367image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6544892749
Coefficient of variation (CV)1.055218572
Kurtosis-0.6602817677
Mean0.620240481
Median Absolute Deviation (MAD)1
Skewness0.5814999436
Sum619
Variance0.4283562109
MonotonicityNot monotonic
2024-05-04T15:26:13.569052image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 475
46.4%
1 427
41.7%
2 96
 
9.4%
(Missing) 25
 
2.4%
ValueCountFrequency (%)
0 475
46.4%
1 427
41.7%
2 96
 
9.4%
ValueCountFrequency (%)
2 96
 
9.4%
1 427
41.7%
0 475
46.4%

rs7554506_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.2944111776
Minimum0
Maximum2
Zeros733
Zeros (%)71.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:13.734447image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5097929126
Coefficient of variation (CV)1.731567791
Kurtosis1.243029862
Mean0.2944111776
Median Absolute Deviation (MAD)0
Skewness1.478256379
Sum295
Variance0.2598888138
MonotonicityNot monotonic
2024-05-04T15:26:13.906105image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 733
71.7%
1 243
 
23.8%
2 26
 
2.5%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 733
71.7%
1 243
 
23.8%
2 26
 
2.5%
ValueCountFrequency (%)
2 26
 
2.5%
1 243
 
23.8%
0 733
71.7%

rs5742904_0
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)0.1%
Missing18
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros1005
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:14.050931image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-05-04T15:26:14.175429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 1005
98.2%
(Missing) 18
 
1.8%
ValueCountFrequency (%)
0 1005
98.2%
ValueCountFrequency (%)
0 1005
98.2%

rs693_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing26
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean0.6880641926
Minimum0
Maximum2
Zeros433
Zeros (%)42.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:14.298181image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6781056503
Coefficient of variation (CV)0.985526725
Kurtosis-0.7988921365
Mean0.6880641926
Median Absolute Deviation (MAD)1
Skewness0.4770261265
Sum686
Variance0.459827273
MonotonicityNot monotonic
2024-05-04T15:26:14.467962image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 442
43.2%
0 433
42.3%
2 122
 
11.9%
(Missing) 26
 
2.5%
ValueCountFrequency (%)
0 433
42.3%
1 442
43.2%
2 122
 
11.9%
ValueCountFrequency (%)
2 122
 
11.9%
1 442
43.2%
0 433
42.3%

rs562338_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing22
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean0.1988011988
Minimum0
Maximum2
Zeros810
Zeros (%)79.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:14.612751image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4188538664
Coefficient of variation (CV)2.106898092
Kurtosis2.249332297
Mean0.1988011988
Median Absolute Deviation (MAD)0
Skewness1.834056926
Sum199
Variance0.1754385614
MonotonicityNot monotonic
2024-05-04T15:26:14.763601image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 810
79.2%
1 183
 
17.9%
2 8
 
0.8%
(Missing) 22
 
2.2%
ValueCountFrequency (%)
0 810
79.2%
1 183
 
17.9%
2 8
 
0.8%
ValueCountFrequency (%)
2 8
 
0.8%
1 183
 
17.9%
0 810
79.2%

rs4402960_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing19
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean0.4332669323
Minimum0
Maximum2
Zeros623
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:14.907615image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5945321514
Coefficient of variation (CV)1.37220754
Kurtosis0.0500298267
Mean0.4332669323
Median Absolute Deviation (MAD)0
Skewness1.029310991
Sum435
Variance0.353468479
MonotonicityNot monotonic
2024-05-04T15:26:15.056978image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 623
60.9%
1 327
32.0%
2 54
 
5.3%
(Missing) 19
 
1.9%
ValueCountFrequency (%)
0 623
60.9%
1 327
32.0%
2 54
 
5.3%
ValueCountFrequency (%)
2 54
 
5.3%
1 327
32.0%
0 623
60.9%

rs1470579_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing19
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean0.4452191235
Minimum0
Maximum2
Zeros617
Zeros (%)60.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:15.202285image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6057114764
Coefficient of variation (CV)1.360479468
Kurtosis0.01499634372
Mean0.4452191235
Median Absolute Deviation (MAD)0
Skewness1.019964234
Sum447
Variance0.3668863926
MonotonicityNot monotonic
2024-05-04T15:26:15.345717image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 617
60.3%
1 327
32.0%
2 60
 
5.9%
(Missing) 19
 
1.9%
ValueCountFrequency (%)
0 617
60.3%
1 327
32.0%
2 60
 
5.9%
ValueCountFrequency (%)
2 60
 
5.9%
1 327
32.0%
0 617
60.3%

rs266729_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.7355289421
Minimum0
Maximum2
Zeros400
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:15.487900image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6815062134
Coefficient of variation (CV)0.9265525453
Kurtosis-0.8450248621
Mean0.7355289421
Median Absolute Deviation (MAD)1
Skewness0.3871008787
Sum737
Variance0.4644507189
MonotonicityNot monotonic
2024-05-04T15:26:15.630925image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 467
45.7%
0 400
39.1%
2 135
 
13.2%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 400
39.1%
1 467
45.7%
2 135
 
13.2%
ValueCountFrequency (%)
2 135
 
13.2%
1 467
45.7%
0 400
39.1%

rs2241766_0
Real number (ℝ)

CONSTANT  MISSING  ZEROS 

Distinct1
Distinct (%)0.1%
Missing52
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros971
Zeros (%)94.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:15.766583image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-05-04T15:26:15.910744image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 971
94.9%
(Missing) 52
 
5.1%
ValueCountFrequency (%)
0 971
94.9%
ValueCountFrequency (%)
0 971
94.9%

rs1501299_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing18
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.5044776119
Minimum0
Maximum2
Zeros569
Zeros (%)55.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:16.052825image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6258300072
Coefficient of variation (CV)1.240550606
Kurtosis-0.3046379572
Mean0.5044776119
Median Absolute Deviation (MAD)0
Skewness0.8503184526
Sum507
Variance0.391663198
MonotonicityNot monotonic
2024-05-04T15:26:16.225882image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 569
55.6%
1 365
35.7%
2 71
 
6.9%
(Missing) 18
 
1.8%
ValueCountFrequency (%)
0 569
55.6%
1 365
35.7%
2 71
 
6.9%
ValueCountFrequency (%)
2 71
 
6.9%
1 365
35.7%
0 569
55.6%

rs7754840_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing29
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean0.6116700201
Minimum0
Maximum2
Zeros478
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:16.383352image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6504353084
Coefficient of variation (CV)1.063376146
Kurtosis-0.6410379003
Mean0.6116700201
Median Absolute Deviation (MAD)1
Skewness0.5926875329
Sum608
Variance0.4230660904
MonotonicityNot monotonic
2024-05-04T15:26:16.534942image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 478
46.7%
1 424
41.4%
2 92
 
9.0%
(Missing) 29
 
2.8%
ValueCountFrequency (%)
0 478
46.7%
1 424
41.4%
2 92
 
9.0%
ValueCountFrequency (%)
2 92
 
9.0%
1 424
41.4%
0 478
46.7%

rs4607517_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing22
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean0.4035964036
Minimum0
Maximum2
Zeros633
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:16.687647image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5594167078
Coefficient of variation (CV)1.386079516
Kurtosis-0.003208967934
Mean0.4035964036
Median Absolute Deviation (MAD)0
Skewness1.003213621
Sum404
Variance0.3129470529
MonotonicityNot monotonic
2024-05-04T15:26:16.848495image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 633
61.9%
1 332
32.5%
2 36
 
3.5%
(Missing) 22
 
2.2%
ValueCountFrequency (%)
0 633
61.9%
1 332
32.5%
2 36
 
3.5%
ValueCountFrequency (%)
2 36
 
3.5%
1 332
32.5%
0 633
61.9%

rs12678919_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing22
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean0.1048951049
Minimum0
Maximum2
Zeros915
Zeros (%)89.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:17.011478image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3632987944
Coefficient of variation (CV)3.463448506
Kurtosis13.63380882
Mean0.1048951049
Median Absolute Deviation (MAD)0
Skewness3.684301882
Sum105
Variance0.131986014
MonotonicityNot monotonic
2024-05-04T15:26:17.158342image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 915
89.4%
1 67
 
6.5%
2 19
 
1.9%
(Missing) 22
 
2.2%
ValueCountFrequency (%)
0 915
89.4%
1 67
 
6.5%
2 19
 
1.9%
ValueCountFrequency (%)
2 19
 
1.9%
1 67
 
6.5%
0 915
89.4%

rs9282541_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing23
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean0.211
Minimum0
Maximum2
Zeros797
Zeros (%)77.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:17.294732image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.427389356
Coefficient of variation (CV)2.025541972
Kurtosis1.792783286
Mean0.211
Median Absolute Deviation (MAD)0
Skewness1.722865916
Sum211
Variance0.1826616617
MonotonicityNot monotonic
2024-05-04T15:26:17.435922image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 797
77.9%
1 195
 
19.1%
2 8
 
0.8%
(Missing) 23
 
2.2%
ValueCountFrequency (%)
0 797
77.9%
1 195
 
19.1%
2 8
 
0.8%
ValueCountFrequency (%)
2 8
 
0.8%
1 195
 
19.1%
0 797
77.9%

rs1883025_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.5692921236
Minimum0
Maximum2
Zeros501
Zeros (%)49.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:17.589367image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6190055425
Coefficient of variation (CV)1.087324972
Kurtosis-0.5702389456
Mean0.5692921236
Median Absolute Deviation (MAD)1
Skewness0.6080964879
Sum571
Variance0.3831678617
MonotonicityNot monotonic
2024-05-04T15:26:18.227586image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 501
49.0%
1 433
42.3%
2 69
 
6.7%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 501
49.0%
1 433
42.3%
2 69
 
6.7%
ValueCountFrequency (%)
2 69
 
6.7%
1 433
42.3%
0 501
49.0%

rs7901695_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing32
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean0.331987891
Minimum0
Maximum2
Zeros686
Zeros (%)67.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:18.367658image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5200776786
Coefficient of variation (CV)1.566556169
Kurtosis0.4645720233
Mean0.331987891
Median Absolute Deviation (MAD)0
Skewness1.223484067
Sum329
Variance0.2704807918
MonotonicityNot monotonic
2024-05-04T15:26:18.526825image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 686
67.1%
1 281
27.5%
2 24
 
2.3%
(Missing) 32
 
3.1%
ValueCountFrequency (%)
0 686
67.1%
1 281
27.5%
2 24
 
2.3%
ValueCountFrequency (%)
2 24
 
2.3%
1 281
27.5%
0 686
67.1%

rs4506565_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing18
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.3482587065
Minimum0
Maximum2
Zeros694
Zeros (%)67.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:18.675987image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5521683558
Coefficient of variation (CV)1.585511993
Kurtosis0.7590605857
Mean0.3482587065
Median Absolute Deviation (MAD)0
Skewness1.314469626
Sum350
Variance0.3048898932
MonotonicityNot monotonic
2024-05-04T15:26:18.828175image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 694
67.8%
1 272
 
26.6%
2 39
 
3.8%
(Missing) 18
 
1.8%
ValueCountFrequency (%)
0 694
67.8%
1 272
 
26.6%
2 39
 
3.8%
ValueCountFrequency (%)
2 39
 
3.8%
1 272
 
26.6%
0 694
67.8%

rs7903146_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.3230309073
Minimum0
Maximum2
Zeros716
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:18.978904image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5410660598
Coefficient of variation (CV)1.674966846
Kurtosis1.125373814
Mean0.3230309073
Median Absolute Deviation (MAD)0
Skewness1.438895391
Sum324
Variance0.2927524811
MonotonicityNot monotonic
2024-05-04T15:26:19.125929image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 716
70.0%
1 250
 
24.4%
2 37
 
3.6%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 716
70.0%
1 250
 
24.4%
2 37
 
3.6%
ValueCountFrequency (%)
2 37
 
3.6%
1 250
 
24.4%
0 716
70.0%

rs12243326_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean0.2564612326
Minimum0
Maximum2
Zeros766
Zeros (%)74.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:19.271471image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4761297139
Coefficient of variation (CV)1.856536791
Kurtosis1.616991805
Mean0.2564612326
Median Absolute Deviation (MAD)0
Skewness1.604802154
Sum258
Variance0.2266995045
MonotonicityNot monotonic
2024-05-04T15:26:19.415586image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 766
74.9%
1 222
 
21.7%
2 18
 
1.8%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
0 766
74.9%
1 222
 
21.7%
2 18
 
1.8%
ValueCountFrequency (%)
2 18
 
1.8%
1 222
 
21.7%
0 766
74.9%

rs231362_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.496007984
Minimum0
Maximum2
Zeros576
Zeros (%)56.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:19.551639image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6261724523
Coefficient of variation (CV)1.262424139
Kurtosis-0.2565291801
Mean0.496007984
Median Absolute Deviation (MAD)0
Skewness0.8835103219
Sum497
Variance0.39209194
MonotonicityNot monotonic
2024-05-04T15:26:19.701009image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 576
56.3%
1 355
34.7%
2 71
 
6.9%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 576
56.3%
1 355
34.7%
2 71
 
6.9%
ValueCountFrequency (%)
2 71
 
6.9%
1 355
34.7%
0 576
56.3%

rs163184_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean0.9771371769
Minimum0
Maximum2
Zeros253
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:19.844294image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6928735715
Coefficient of variation (CV)0.7090852624
Kurtosis-0.9137658313
Mean0.9771371769
Median Absolute Deviation (MAD)0
Skewness0.03028569542
Sum983
Variance0.4800737861
MonotonicityNot monotonic
2024-05-04T15:26:19.991720image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 523
51.1%
0 253
24.7%
2 230
22.5%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
0 253
24.7%
1 523
51.1%
2 230
22.5%
ValueCountFrequency (%)
2 230
22.5%
1 523
51.1%
0 253
24.7%

rs2237897_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.6011964108
Minimum0
Maximum2
Zeros492
Zeros (%)48.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:20.137310image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6508696503
Coefficient of variation (CV)1.082623979
Kurtosis-0.619658472
Mean0.6011964108
Median Absolute Deviation (MAD)1
Skewness0.6218724007
Sum603
Variance0.4236313017
MonotonicityNot monotonic
2024-05-04T15:26:20.277800image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 492
48.1%
1 419
41.0%
2 92
 
9.0%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 492
48.1%
1 419
41.0%
2 92
 
9.0%
ValueCountFrequency (%)
2 92
 
9.0%
1 419
41.0%
0 492
48.1%

rs10830963_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing18
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.4646766169
Minimum0
Maximum2
Zeros596
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:20.419790image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6037697147
Coefficient of variation (CV)1.299333112
Kurtosis-0.1521341626
Mean0.4646766169
Median Absolute Deviation (MAD)0
Skewness0.9248036967
Sum467
Variance0.3645378684
MonotonicityNot monotonic
2024-05-04T15:26:20.562119image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 596
58.3%
1 351
34.3%
2 58
 
5.7%
(Missing) 18
 
1.8%
ValueCountFrequency (%)
0 596
58.3%
1 351
34.3%
2 58
 
5.7%
ValueCountFrequency (%)
2 58
 
5.7%
1 351
34.3%
0 596
58.3%

rs964184_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing18
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean0.7104477612
Minimum0
Maximum2
Zeros416
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:20.718031image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6744780323
Coefficient of variation (CV)0.9493703396
Kurtosis-0.8064640454
Mean0.7104477612
Median Absolute Deviation (MAD)1
Skewness0.4233171507
Sum714
Variance0.454920616
MonotonicityNot monotonic
2024-05-04T15:26:20.879372image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 464
45.4%
0 416
40.7%
2 125
 
12.2%
(Missing) 18
 
1.8%
ValueCountFrequency (%)
0 416
40.7%
1 464
45.4%
2 125
 
12.2%
ValueCountFrequency (%)
2 125
 
12.2%
1 464
45.4%
0 416
40.7%

rs3135506_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing19
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean0.3336653386
Minimum0
Maximum2
Zeros701
Zeros (%)68.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:21.031275image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5351289774
Coefficient of variation (CV)1.603789532
Kurtosis0.7683168576
Mean0.3336653386
Median Absolute Deviation (MAD)0
Skewness1.318138153
Sum335
Variance0.2863630225
MonotonicityNot monotonic
2024-05-04T15:26:21.215150image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 701
68.5%
1 271
 
26.5%
2 32
 
3.1%
(Missing) 19
 
1.9%
ValueCountFrequency (%)
0 701
68.5%
1 271
 
26.5%
2 32
 
3.1%
ValueCountFrequency (%)
2 32
 
3.1%
1 271
 
26.5%
0 701
68.5%

rs662799_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing19
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean0.3615537849
Minimum0
Maximum2
Zeros675
Zeros (%)66.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:21.365880image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5466803434
Coefficient of variation (CV)1.512030482
Kurtosis0.4224463071
Mean0.3615537849
Median Absolute Deviation (MAD)0
Skewness1.188757699
Sum363
Variance0.2988593979
MonotonicityNot monotonic
2024-05-04T15:26:21.518519image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 675
66.0%
1 295
28.8%
2 34
 
3.3%
(Missing) 19
 
1.9%
ValueCountFrequency (%)
0 675
66.0%
1 295
28.8%
2 34
 
3.3%
ValueCountFrequency (%)
2 34
 
3.3%
1 295
28.8%
0 675
66.0%

rs2041139_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing24
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean0.05505505506
Minimum0
Maximum2
Zeros945
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:21.658830image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.232551354
Coefficient of variation (CV)4.22397823
Kurtosis16.49095792
Mean0.05505505506
Median Absolute Deviation (MAD)0
Skewness4.144856581
Sum55
Variance0.05408013224
MonotonicityNot monotonic
2024-05-04T15:26:21.802672image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 945
92.4%
1 53
 
5.2%
2 1
 
0.1%
(Missing) 24
 
2.3%
ValueCountFrequency (%)
0 945
92.4%
1 53
 
5.2%
2 1
 
0.1%
ValueCountFrequency (%)
2 1
 
0.1%
1 53
 
5.2%
0 945
92.4%

rs10468017_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing22
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean0.2857142857
Minimum0
Maximum2
Zeros738
Zeros (%)72.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:21.963696image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5002856327
Coefficient of variation (CV)1.750999714
Kurtosis1.263290159
Mean0.2857142857
Median Absolute Deviation (MAD)0
Skewness1.489406534
Sum286
Variance0.2502857143
MonotonicityNot monotonic
2024-05-04T15:26:22.114243image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 738
72.1%
1 240
 
23.5%
2 23
 
2.2%
(Missing) 22
 
2.2%
ValueCountFrequency (%)
0 738
72.1%
1 240
 
23.5%
2 23
 
2.2%
ValueCountFrequency (%)
2 23
 
2.2%
1 240
 
23.5%
0 738
72.1%

rs1532085_A
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing22
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean0.7532467532
Minimum0
Maximum2
Zeros398
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:22.260749image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6986071486
Coefficient of variation (CV)0.9274612145
Kurtosis-0.9199149894
Mean0.7532467532
Median Absolute Deviation (MAD)1
Skewness0.3800579114
Sum754
Variance0.4880519481
MonotonicityNot monotonic
2024-05-04T15:26:22.399265image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 452
44.2%
0 398
38.9%
2 151
 
14.8%
(Missing) 22
 
2.2%
ValueCountFrequency (%)
0 398
38.9%
1 452
44.2%
2 151
 
14.8%
ValueCountFrequency (%)
2 151
 
14.8%
1 452
44.2%
0 398
38.9%

rs13342232_G
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.7335329341
Minimum0
Maximum2
Zeros399
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:22.555844image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6777860278
Coefficient of variation (CV)0.9240021767
Kurtosis-0.8304511459
Mean0.7335329341
Median Absolute Deviation (MAD)1
Skewness0.3843808945
Sum735
Variance0.4593938995
MonotonicityNot monotonic
2024-05-04T15:26:22.699952image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 471
46.0%
0 399
39.0%
2 132
 
12.9%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 399
39.0%
1 471
46.0%
2 132
 
12.9%
ValueCountFrequency (%)
2 132
 
12.9%
1 471
46.0%
0 399
39.0%

rs13342692_C
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing19
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean0.735059761
Minimum0
Maximum2
Zeros400
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:22.842028image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6798084127
Coefficient of variation (CV)0.9248342092
Kurtosis-0.8385645063
Mean0.735059761
Median Absolute Deviation (MAD)1
Skewness0.385051478
Sum738
Variance0.462139478
MonotonicityNot monotonic
2024-05-04T15:26:23.015615image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 470
45.9%
0 400
39.1%
2 134
 
13.1%
(Missing) 19
 
1.9%
ValueCountFrequency (%)
0 400
39.1%
1 470
45.9%
2 134
 
13.1%
ValueCountFrequency (%)
2 134
 
13.1%
1 470
45.9%
0 400
39.1%

_merge4
Text

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:23.165050image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length15
Median length11
Mean length10.84750733
Min length1

Characters and Unicode

Total characters11097
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowmaster only (1)
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
matched 1006
49.5%
3 1006
49.5%
16
 
0.8%
master 1
 
< 0.1%
only 1
 
< 0.1%
1 1
 
< 0.1%
2024-05-04T15:26:23.472649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1008
9.1%
m 1007
9.1%
t 1007
9.1%
) 1007
9.1%
a 1007
9.1%
e 1007
9.1%
( 1007
9.1%
3 1006
9.1%
d 1006
9.1%
h 1006
9.1%
Other values (9) 1029
9.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11097
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1008
9.1%
m 1007
9.1%
t 1007
9.1%
) 1007
9.1%
a 1007
9.1%
e 1007
9.1%
( 1007
9.1%
3 1006
9.1%
d 1006
9.1%
h 1006
9.1%
Other values (9) 1029
9.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11097
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1008
9.1%
m 1007
9.1%
t 1007
9.1%
) 1007
9.1%
a 1007
9.1%
e 1007
9.1%
( 1007
9.1%
3 1006
9.1%
d 1006
9.1%
h 1006
9.1%
Other values (9) 1029
9.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11097
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1008
9.1%
m 1007
9.1%
t 1007
9.1%
) 1007
9.1%
a 1007
9.1%
e 1007
9.1%
( 1007
9.1%
3 1006
9.1%
d 1006
9.1%
h 1006
9.1%
Other values (9) 1029
9.3%

dosis_fol_cat
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)1.5%
Missing826
Missing (%)80.7%
Infinite0
Infinite (%)0.0%
Mean1.994923858
Minimum0
Maximum3
Zeros6
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:23.609412image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q33
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.047336086
Coefficient of variation (CV)0.5250005316
Kurtosis-1.794804258
Mean1.994923858
Median Absolute Deviation (MAD)0
Skewness-0.151314798
Sum393
Variance1.096912877
MonotonicityNot monotonic
2024-05-04T15:26:23.768450image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 101
 
9.9%
1 90
 
8.8%
0 6
 
0.6%
(Missing) 826
80.7%
ValueCountFrequency (%)
0 6
 
0.6%
1 90
8.8%
3 101
9.9%
ValueCountFrequency (%)
3 101
9.9%
1 90
8.8%
0 6
 
0.6%

cambio_adec
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)27.3%
Missing1012
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean1.454545455
Minimum0
Maximum2
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:23.909364image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8201995323
Coefficient of variation (CV)0.5638871784
Kurtosis-0.2544436328
Mean1.454545455
Median Absolute Deviation (MAD)0
Skewness-1.153311979
Sum16
Variance0.6727272727
MonotonicityNot monotonic
2024-05-04T15:26:24.092626image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 7
 
0.7%
0 2
 
0.2%
1 2
 
0.2%
(Missing) 1012
98.9%
ValueCountFrequency (%)
0 2
 
0.2%
1 2
 
0.2%
2 7
0.7%
ValueCountFrequency (%)
2 7
0.7%
1 2
 
0.2%
0 2
 
0.2%

prot_kg
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)100.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean1.164163916
Minimum0.5161189
Maximum2.008929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:24.281304image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.5161189
5-th percentile0.64147382
Q10.8068836
median1.106515
Q31.528863
95-th percentile1.9170812
Maximum2.008929
Range1.4928101
Interquartile range (IQR)0.7219794

Descriptive statistics

Standard deviation0.4418227143
Coefficient of variation (CV)0.3795193342
Kurtosis-0.904028625
Mean1.164163916
Median Absolute Deviation (MAD)0.3093975
Skewness0.4876138794
Sum29.1040979
Variance0.1952073108
MonotonicityNot monotonic
2024-05-04T15:26:24.466516image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.9891948 1
 
0.1%
1.684911 1
 
0.1%
1.017918 1
 
0.1%
1.146094 1
 
0.1%
1.942843 1
 
0.1%
1.528863 1
 
0.1%
1.19918 1
 
0.1%
0.6366965 1
 
0.1%
0.67942 1
 
0.1%
2.008929 1
 
0.1%
Other values (15) 15
 
1.5%
(Missing) 998
97.6%
ValueCountFrequency (%)
0.5161189 1
0.1%
0.6366965 1
0.1%
0.6605831 1
0.1%
0.67942 1
0.1%
0.6944088 1
0.1%
ValueCountFrequency (%)
2.008929 1
0.1%
1.942843 1
0.1%
1.814034 1
0.1%
1.724492 1
0.1%
1.684911 1
0.1%

acfol_dosis_mcg
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)10.2%
Missing826
Missing (%)80.7%
Infinite0
Infinite (%)0.0%
Mean1985.279188
Minimum100
Maximum6000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:24.642349image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile400
Q1400
median1000
Q35000
95-th percentile5600
Maximum6000
Range5900
Interquartile range (IQR)4600

Descriptive statistics

Standard deviation2053.819624
Coefficient of variation (CV)1.034524331
Kurtosis-1.041634562
Mean1985.279188
Median Absolute Deviation (MAD)600
Skewness0.8959498227
Sum391100
Variance4218175.049
MonotonicityNot monotonic
2024-05-04T15:26:24.811501image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
400 55
 
5.4%
5000 40
 
3.9%
1000 28
 
2.7%
600 15
 
1.5%
800 13
 
1.3%
1400 7
 
0.7%
6000 6
 
0.6%
500 6
 
0.6%
4000 5
 
0.5%
100 4
 
0.4%
Other values (10) 18
 
1.8%
(Missing) 826
80.7%
ValueCountFrequency (%)
100 4
 
0.4%
350 2
 
0.2%
400 55
5.4%
500 6
 
0.6%
600 15
 
1.5%
ValueCountFrequency (%)
6000 6
 
0.6%
5800 3
 
0.3%
5600 3
 
0.3%
5400 1
 
0.1%
5000 40
3.9%

pesorn_plac
Real number (ℝ)

MISSING 

Distinct245
Distinct (%)94.2%
Missing763
Missing (%)74.6%
Infinite0
Infinite (%)0.0%
Mean5.392166535
Minimum2.034483
Maximum12.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:25.023921image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum2.034483
5-th percentile3.6625193
Q14.4846155
median5.1742425
Q36.03587025
95-th percentile7.8027273
Maximum12.5
Range10.465517
Interquartile range (IQR)1.55125475

Descriptive statistics

Standard deviation1.382135736
Coefficient of variation (CV)0.256322895
Kurtosis3.927833162
Mean5.392166535
Median Absolute Deviation (MAD)0.757184
Skewness1.415296023
Sum1401.963299
Variance1.910299193
MonotonicityNot monotonic
2024-05-04T15:26:25.237267image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 4
 
0.4%
4.75 3
 
0.3%
5 3
 
0.3%
4.6 3
 
0.3%
6.25 2
 
0.2%
5.04 2
 
0.2%
5.25 2
 
0.2%
6.4 2
 
0.2%
3.8 2
 
0.2%
4.314286 2
 
0.2%
Other values (235) 235
 
23.0%
(Missing) 763
74.6%
ValueCountFrequency (%)
2.034483 1
0.1%
3.159302 1
0.1%
3.169231 1
0.1%
3.171429 1
0.1%
3.408 1
0.1%
ValueCountFrequency (%)
12.5 1
0.1%
11.37333 1
0.1%
10 1
0.1%
9.9 1
0.1%
9.282051 1
0.1%

termino_rn2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.3%
Missing448
Missing (%)43.8%
Infinite0
Infinite (%)0.0%
Mean0.2573913043
Minimum0
Maximum1
Zeros427
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:25.415965image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4375774435
Coefficient of variation (CV)1.7000475
Kurtosis-0.7644754297
Mean0.2573913043
Median Absolute Deviation (MAD)0
Skewness1.112742446
Sum148
Variance0.1914740191
MonotonicityNot monotonic
2024-05-04T15:26:25.564649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 427
41.7%
1 148
 
14.5%
(Missing) 448
43.8%
ValueCountFrequency (%)
0 427
41.7%
1 148
 
14.5%
ValueCountFrequency (%)
1 148
 
14.5%
0 427
41.7%

AST_pv
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)64.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean22.36
Minimum14
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:25.695330image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile15.2
Q117
median19
Q324
95-th percentile40
Maximum45
Range31
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.899789027
Coefficient of variation (CV)0.3533000459
Kurtosis2.559998591
Mean22.36
Median Absolute Deviation (MAD)2
Skewness1.727837539
Sum559
Variance62.40666667
MonotonicityNot monotonic
2024-05-04T15:26:25.842350image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
17 4
 
0.4%
19 3
 
0.3%
21 3
 
0.3%
18 3
 
0.3%
29 1
 
0.1%
14 1
 
0.1%
23 1
 
0.1%
16 1
 
0.1%
36 1
 
0.1%
27 1
 
0.1%
Other values (6) 6
 
0.6%
(Missing) 998
97.6%
ValueCountFrequency (%)
14 1
 
0.1%
15 1
 
0.1%
16 1
 
0.1%
17 4
0.4%
18 3
0.3%
ValueCountFrequency (%)
45 1
0.1%
41 1
0.1%
36 1
0.1%
29 1
0.1%
27 1
0.1%

ALT_pv
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)56.0%
Missing998
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean23.68
Minimum11
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:26.020722image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11.4
Q114
median18
Q327
95-th percentile48.2
Maximum79
Range68
Interquartile range (IQR)13

Descriptive statistics

Standard deviation15.04083331
Coefficient of variation (CV)0.6351703256
Kurtosis7.163627578
Mean23.68
Median Absolute Deviation (MAD)5
Skewness2.437328656
Sum592
Variance226.2266667
MonotonicityNot monotonic
2024-05-04T15:26:26.188330image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
13 4
 
0.4%
22 3
 
0.3%
16 2
 
0.2%
18 2
 
0.2%
27 2
 
0.2%
37 2
 
0.2%
17 2
 
0.2%
11 2
 
0.2%
51 1
 
0.1%
14 1
 
0.1%
Other values (4) 4
 
0.4%
(Missing) 998
97.6%
ValueCountFrequency (%)
11 2
0.2%
13 4
0.4%
14 1
 
0.1%
16 2
0.2%
17 2
0.2%
ValueCountFrequency (%)
79 1
0.1%
51 1
0.1%
37 2
0.2%
31 1
0.1%
28 1
0.1%

AST_dx
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)9.1%
Missing572
Missing (%)55.9%
Infinite0
Infinite (%)0.0%
Mean15.7827051
Minimum0
Maximum106
Zeros13
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:26.390971image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q112
median16
Q320
95-th percentile28
Maximum106
Range106
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.216254373
Coefficient of variation (CV)0.5839464347
Kurtosis21.50791605
Mean15.7827051
Median Absolute Deviation (MAD)4
Skewness2.55797822
Sum7118
Variance84.93934467
MonotonicityNot monotonic
2024-05-04T15:26:26.584022image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
14 38
 
3.7%
18 35
 
3.4%
16 33
 
3.2%
17 30
 
2.9%
15 27
 
2.6%
13 23
 
2.2%
21 21
 
2.1%
20 20
 
2.0%
19 20
 
2.0%
22 19
 
1.9%
Other values (31) 185
 
18.1%
(Missing) 572
55.9%
ValueCountFrequency (%)
0 13
1.3%
1 5
 
0.5%
2 9
0.9%
3 9
0.9%
4 11
1.1%
ValueCountFrequency (%)
106 1
0.1%
58 1
0.1%
56 1
0.1%
53 1
0.1%
41 1
0.1%

ALT_dx
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)8.4%
Missing571
Missing (%)55.8%
Infinite0
Infinite (%)0.0%
Mean11.27654867
Minimum0
Maximum67
Zeros6
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:26.746429image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median10
Q313
95-th percentile22
Maximum67
Range67
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.098363606
Coefficient of variation (CV)0.629480155
Kurtosis15.72840864
Mean11.27654867
Median Absolute Deviation (MAD)3
Skewness2.955680436
Sum5097
Variance50.38676589
MonotonicityNot monotonic
2024-05-04T15:26:26.948344image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
8 48
 
4.7%
11 46
 
4.5%
10 40
 
3.9%
7 37
 
3.6%
9 33
 
3.2%
12 32
 
3.1%
6 32
 
3.1%
5 20
 
2.0%
14 19
 
1.9%
13 19
 
1.9%
Other values (28) 126
 
12.3%
(Missing) 571
55.8%
ValueCountFrequency (%)
0 6
 
0.6%
1 5
 
0.5%
2 3
 
0.3%
3 2
 
0.2%
4 17
1.7%
ValueCountFrequency (%)
67 1
0.1%
59 1
0.1%
51 1
0.1%
44 1
0.1%
38 1
0.1%

_mergeu
Text

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:27.113811image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length12.97653959
Min length1

Characters and Unicode

Total characters13275
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmaster only (1)
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
master 548
21.3%
only 548
21.3%
1 548
21.3%
matched 458
17.8%
3 458
17.8%
17
 
0.7%
2024-05-04T15:26:27.429550image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1554
 
11.7%
m 1006
 
7.6%
a 1006
 
7.6%
) 1006
 
7.6%
t 1006
 
7.6%
e 1006
 
7.6%
( 1006
 
7.6%
1 548
 
4.1%
y 548
 
4.1%
l 548
 
4.1%
Other values (9) 4041
30.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 13275
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1554
 
11.7%
m 1006
 
7.6%
a 1006
 
7.6%
) 1006
 
7.6%
t 1006
 
7.6%
e 1006
 
7.6%
( 1006
 
7.6%
1 548
 
4.1%
y 548
 
4.1%
l 548
 
4.1%
Other values (9) 4041
30.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 13275
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1554
 
11.7%
m 1006
 
7.6%
a 1006
 
7.6%
) 1006
 
7.6%
t 1006
 
7.6%
e 1006
 
7.6%
( 1006
 
7.6%
1 548
 
4.1%
y 548
 
4.1%
l 548
 
4.1%
Other values (9) 4041
30.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 13275
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1554
 
11.7%
m 1006
 
7.6%
a 1006
 
7.6%
) 1006
 
7.6%
t 1006
 
7.6%
e 1006
 
7.6%
( 1006
 
7.6%
1 548
 
4.1%
y 548
 
4.1%
l 548
 
4.1%
Other values (9) 4041
30.4%

acfol_dx_cat
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.7%
Missing569
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean1.471365639
Minimum0
Maximum2
Zeros11
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:27.570687image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5461641339
Coefficient of variation (CV)0.3711953844
Kurtosis-1.011586478
Mean1.471365639
Median Absolute Deviation (MAD)1
Skewness-0.3352275229
Sum668
Variance0.2982952612
MonotonicityNot monotonic
2024-05-04T15:26:27.714365image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 225
 
22.0%
1 218
 
21.3%
0 11
 
1.1%
(Missing) 569
55.6%
ValueCountFrequency (%)
0 11
 
1.1%
1 218
21.3%
2 225
22.0%
ValueCountFrequency (%)
2 225
22.0%
1 218
21.3%
0 11
 
1.1%

log_vb12_dx
Real number (ℝ)

MISSING 

Distinct277
Distinct (%)61.6%
Missing573
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean5.641847262
Minimum4.248495
Maximum8.921724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:27.882730image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum4.248495
5-th percentile4.8546936
Q15.23776825
median5.501258
Q35.84281825
95-th percentile6.8736676
Maximum8.921724
Range4.673229
Interquartile range (IQR)0.60505

Descriptive statistics

Standard deviation0.6998720048
Coefficient of variation (CV)0.124050151
Kurtosis6.154044293
Mean5.641847262
Median Absolute Deviation (MAD)0.308301
Skewness2.111814543
Sum2538.831268
Variance0.4898208231
MonotonicityNot monotonic
2024-05-04T15:26:28.071083image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.463832 7
 
0.7%
5.003946 5
 
0.5%
5.187386 5
 
0.5%
5.666427 5
 
0.5%
5.361292 5
 
0.5%
5.613128 5
 
0.5%
5.505332 5
 
0.5%
5.860786 4
 
0.4%
5.01728 4
 
0.4%
4.983607 4
 
0.4%
Other values (267) 401
39.2%
(Missing) 573
56.0%
ValueCountFrequency (%)
4.248495 1
0.1%
4.382027 1
0.1%
4.543295 1
0.1%
4.60517 1
0.1%
4.624973 2
0.2%
ValueCountFrequency (%)
8.921724 1
0.1%
8.799963 1
0.1%
8.670429 1
0.1%
8.609043 1
0.1%
8.567697 1
0.1%

vb12_dx_cat
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.4%
Missing573
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean0.6955555556
Minimum0
Maximum1
Zeros137
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:28.231880image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4606838896
Coefficient of variation (CV)0.6623250809
Kurtosis-1.278486296
Mean0.6955555556
Median Absolute Deviation (MAD)0
Skewness-0.8527694407
Sum313
Variance0.2122296461
MonotonicityNot monotonic
2024-05-04T15:26:28.369660image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 313
30.6%
0 137
 
13.4%
(Missing) 573
56.0%
ValueCountFrequency (%)
0 137
13.4%
1 313
30.6%
ValueCountFrequency (%)
1 313
30.6%
0 137
13.4%

sdg2
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing143
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean1.230681818
Minimum0
Maximum2
Zeros95
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:28.510483image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6275542491
Coefficient of variation (CV)0.5099240436
Kurtosis-0.6197097127
Mean1.230681818
Median Absolute Deviation (MAD)0
Skewness-0.2185441123
Sum1083
Variance0.3938243355
MonotonicityNot monotonic
2024-05-04T15:26:28.652050image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 487
47.6%
2 298
29.1%
0 95
 
9.3%
(Missing) 143
 
14.0%
ValueCountFrequency (%)
0 95
 
9.3%
1 487
47.6%
2 298
29.1%
ValueCountFrequency (%)
2 298
29.1%
1 487
47.6%
0 95
 
9.3%

acfol_dosis_mil
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)1.0%
Missing826
Missing (%)80.7%
Infinite0
Infinite (%)0.0%
Mean0.5126903553
Minimum0
Maximum1
Zeros96
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:28.799350image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.501112406
Coefficient of variation (CV)0.9774172671
Kurtosis-2.017973516
Mean0.5126903553
Median Absolute Deviation (MAD)0
Skewness-0.05116821163
Sum101
Variance0.2511136434
MonotonicityNot monotonic
2024-05-04T15:26:28.939588image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 101
 
9.9%
0 96
 
9.4%
(Missing) 826
80.7%
ValueCountFrequency (%)
0 96
9.4%
1 101
9.9%
ValueCountFrequency (%)
1 101
9.9%
0 96
9.4%

rs1801133_T2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.8015952144
Minimum0
Maximum1
Zeros199
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:29.092876image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3989975558
Coefficient of variation (CV)0.4977544136
Kurtosis0.2951588663
Mean0.8015952144
Median Absolute Deviation (MAD)0
Skewness-1.51478523
Sum804
Variance0.1591990496
MonotonicityNot monotonic
2024-05-04T15:26:29.222189image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 804
78.6%
0 199
 
19.5%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 199
 
19.5%
1 804
78.6%
ValueCountFrequency (%)
1 804
78.6%
0 199
 
19.5%

rs1805087_G2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.3579262213
Minimum0
Maximum1
Zeros644
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:29.372526image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4796294379
Coefficient of variation (CV)1.340023193
Kurtosis-1.650917038
Mean0.3579262213
Median Absolute Deviation (MAD)0
Skewness0.5936151166
Sum359
Variance0.2300443977
MonotonicityNot monotonic
2024-05-04T15:26:29.510509image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 644
63.0%
1 359
35.1%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 644
63.0%
1 359
35.1%
ValueCountFrequency (%)
1 359
35.1%
0 644
63.0%

rs1805087_G3
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing20
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean0.04586241276
Minimum0
Maximum1
Zeros957
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:29.652535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2092910021
Coefficient of variation (CV)4.563453807
Kurtosis16.94273328
Mean0.04586241276
Median Absolute Deviation (MAD)0
Skewness4.348442603
Sum46
Variance0.04380272357
MonotonicityNot monotonic
2024-05-04T15:26:29.798313image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 957
93.5%
1 46
 
4.5%
(Missing) 20
 
2.0%
ValueCountFrequency (%)
0 957
93.5%
1 46
 
4.5%
ValueCountFrequency (%)
1 46
 
4.5%
0 957
93.5%

rs2119289_G2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing25
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean0.2384769539
Minimum0
Maximum1
Zeros760
Zeros (%)74.3%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:29.939612image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4263658623
Coefficient of variation (CV)1.787870296
Kurtosis-0.4900103084
Mean0.2384769539
Median Absolute Deviation (MAD)0
Skewness1.229217515
Sum238
Variance0.1817878485
MonotonicityNot monotonic
2024-05-04T15:26:30.081047image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 760
74.3%
1 238
 
23.3%
(Missing) 25
 
2.4%
ValueCountFrequency (%)
0 760
74.3%
1 238
 
23.3%
ValueCountFrequency (%)
1 238
 
23.3%
0 760
74.3%

rs11254363_G2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing19
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean0.2041832669
Minimum0
Maximum1
Zeros799
Zeros (%)78.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:30.228495image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4033044345
Coefficient of variation (CV)1.97520806
Kurtosis0.1609020266
Mean0.2041832669
Median Absolute Deviation (MAD)0
Skewness1.469893015
Sum205
Variance0.1626544669
MonotonicityNot monotonic
2024-05-04T15:26:30.355193image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 799
78.1%
1 205
 
20.0%
(Missing) 19
 
1.9%
ValueCountFrequency (%)
0 799
78.1%
1 205
 
20.0%
ValueCountFrequency (%)
1 205
 
20.0%
0 799
78.1%

acfol_dx_ext
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.7%
Missing569
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean1
Minimum0
Maximum2
Zeros46
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:30.503774image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4506556421
Coefficient of variation (CV)0.4506556421
Kurtosis1.969594203
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum454
Variance0.2030905077
MonotonicityNot monotonic
2024-05-04T15:26:30.649882image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 362
35.4%
0 46
 
4.5%
2 46
 
4.5%
(Missing) 569
55.6%
ValueCountFrequency (%)
0 46
 
4.5%
1 362
35.4%
2 46
 
4.5%
ValueCountFrequency (%)
2 46
 
4.5%
1 362
35.4%
0 46
 
4.5%

homo_dx_cat
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.4%
Missing569
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean0.0550660793
Minimum0
Maximum1
Zeros429
Zeros (%)41.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:30.819765image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2283608353
Coefficient of variation (CV)4.14703277
Kurtosis13.37834686
Mean0.0550660793
Median Absolute Deviation (MAD)0
Skewness3.91400438
Sum25
Variance0.05214867112
MonotonicityNot monotonic
2024-05-04T15:26:30.957667image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 429
41.9%
1 25
 
2.4%
(Missing) 569
55.6%
ValueCountFrequency (%)
0 429
41.9%
1 25
 
2.4%
ValueCountFrequency (%)
1 25
 
2.4%
0 429
41.9%

homo_dx_cat2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.4%
Missing569
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean0.140969163
Minimum0
Maximum1
Zeros390
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:31.131625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3483736214
Coefficient of variation (CV)2.471275377
Kurtosis2.296250619
Mean0.140969163
Median Absolute Deviation (MAD)0
Skewness2.070302956
Sum64
Variance0.1213641801
MonotonicityNot monotonic
2024-05-04T15:26:31.269437image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 390
38.1%
1 64
 
6.3%
(Missing) 569
55.6%
ValueCountFrequency (%)
0 390
38.1%
1 64
 
6.3%
ValueCountFrequency (%)
1 64
 
6.3%
0 390
38.1%

homo_dx_cat3
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing16
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean0.8867924528
Minimum0
Maximum1
Zeros114
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:31.432838image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3170037717
Coefficient of variation (CV)0.3574723383
Kurtosis3.986712787
Mean0.8867924528
Median Absolute Deviation (MAD)0
Skewness-2.44515822
Sum893
Variance0.1004913913
MonotonicityNot monotonic
2024-05-04T15:26:31.562464image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 893
87.3%
0 114
 
11.1%
(Missing) 16
 
1.6%
ValueCountFrequency (%)
0 114
 
11.1%
1 893
87.3%
ValueCountFrequency (%)
1 893
87.3%
0 114
 
11.1%

_merge2015_3
Text

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:31.709618image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length14.21016618
Min length1

Characters and Unicode

Total characters14537
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmaster only (1)
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
master 861
29.8%
only 861
29.8%
1 861
29.8%
matched 146
 
5.1%
3 146
 
5.1%
16
 
0.6%
2024-05-04T15:26:32.036150image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1868
12.8%
m 1007
 
6.9%
a 1007
 
6.9%
) 1007
 
6.9%
t 1007
 
6.9%
e 1007
 
6.9%
( 1007
 
6.9%
1 861
 
5.9%
y 861
 
5.9%
l 861
 
5.9%
Other values (9) 4044
27.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 14537
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1868
12.8%
m 1007
 
6.9%
a 1007
 
6.9%
) 1007
 
6.9%
t 1007
 
6.9%
e 1007
 
6.9%
( 1007
 
6.9%
1 861
 
5.9%
y 861
 
5.9%
l 861
 
5.9%
Other values (9) 4044
27.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 14537
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1868
12.8%
m 1007
 
6.9%
a 1007
 
6.9%
) 1007
 
6.9%
t 1007
 
6.9%
e 1007
 
6.9%
( 1007
 
6.9%
1 861
 
5.9%
y 861
 
5.9%
l 861
 
5.9%
Other values (9) 4044
27.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 14537
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1868
12.8%
m 1007
 
6.9%
a 1007
 
6.9%
) 1007
 
6.9%
t 1007
 
6.9%
e 1007
 
6.9%
( 1007
 
6.9%
1 861
 
5.9%
y 861
 
5.9%
l 861
 
5.9%
Other values (9) 4044
27.8%

_merge2015_4
Text

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:32.186426image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.36852395
Min length1

Characters and Unicode

Total characters13676
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowusing only (2)
2nd row.
3rd row.
4th row.
5th row.
ValueCountFrequency (%)
using 861
29.8%
only 861
29.8%
2 861
29.8%
matched 146
 
5.1%
3 146
 
5.1%
16
 
0.6%
2024-05-04T15:26:32.998228image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1868
13.7%
n 1722
12.6%
) 1007
 
7.4%
( 1007
 
7.4%
u 861
 
6.3%
y 861
 
6.3%
s 861
 
6.3%
2 861
 
6.3%
l 861
 
6.3%
o 861
 
6.3%
Other values (11) 2906
21.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 13676
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1868
13.7%
n 1722
12.6%
) 1007
 
7.4%
( 1007
 
7.4%
u 861
 
6.3%
y 861
 
6.3%
s 861
 
6.3%
2 861
 
6.3%
l 861
 
6.3%
o 861
 
6.3%
Other values (11) 2906
21.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 13676
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1868
13.7%
n 1722
12.6%
) 1007
 
7.4%
( 1007
 
7.4%
u 861
 
6.3%
y 861
 
6.3%
s 861
 
6.3%
2 861
 
6.3%
l 861
 
6.3%
o 861
 
6.3%
Other values (11) 2906
21.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 13676
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1868
13.7%
n 1722
12.6%
) 1007
 
7.4%
( 1007
 
7.4%
u 861
 
6.3%
y 861
 
6.3%
s 861
 
6.3%
2 861
 
6.3%
l 861
 
6.3%
o 861
 
6.3%
Other values (11) 2906
21.2%

vb12_q
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.7%
Missing428
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean2.633613445
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:33.159129image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.123762118
Coefficient of variation (CV)0.4266997194
Kurtosis-1.344296858
Mean2.633613445
Median Absolute Deviation (MAD)1
Skewness-0.1788121339
Sum1567
Variance1.262841298
MonotonicityNot monotonic
2024-05-04T15:26:33.300382image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 175
17.1%
3 158
 
15.4%
1 131
 
12.8%
2 131
 
12.8%
(Missing) 428
41.8%
ValueCountFrequency (%)
1 131
12.8%
2 131
12.8%
3 158
15.4%
4 175
17.1%
ValueCountFrequency (%)
4 175
17.1%
3 158
15.4%
2 131
12.8%
1 131
12.8%

acfol_q
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.7%
Missing427
Missing (%)41.7%
Infinite0
Infinite (%)0.0%
Mean2.404362416
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:33.429197image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.129846169
Coefficient of variation (CV)0.469915085
Kurtosis-1.386708213
Mean2.404362416
Median Absolute Deviation (MAD)1
Skewness0.0844102755
Sum1433
Variance1.276552366
MonotonicityNot monotonic
2024-05-04T15:26:33.587410image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 176
17.2%
3 153
 
15.0%
2 135
 
13.2%
4 132
 
12.9%
(Missing) 427
41.7%
ValueCountFrequency (%)
1 176
17.2%
2 135
13.2%
3 153
15.0%
4 132
12.9%
ValueCountFrequency (%)
4 132
12.9%
3 153
15.0%
2 135
13.2%
1 176
17.2%

homo_q
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.7%
Missing435
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean2.743197279
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:33.717949image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.084365262
Coefficient of variation (CV)0.3952924825
Kurtosis-1.210410753
Mean2.743197279
Median Absolute Deviation (MAD)1
Skewness-0.2966702039
Sum1613
Variance1.175848022
MonotonicityNot monotonic
2024-05-04T15:26:33.890629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 187
18.3%
3 165
 
16.1%
2 134
 
13.1%
1 102
 
10.0%
(Missing) 435
42.5%
ValueCountFrequency (%)
1 102
10.0%
2 134
13.1%
3 165
16.1%
4 187
18.3%
ValueCountFrequency (%)
4 187
18.3%
3 165
16.1%
2 134
13.1%
1 102
10.0%

IFG
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing35
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean0.213562753
Minimum0
Maximum1
Zeros777
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:34.039468image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.410029108
Coefficient of variation (CV)1.919946724
Kurtosis-0.04011425932
Mean0.213562753
Median Absolute Deviation (MAD)0
Skewness1.399989659
Sum211
Variance0.1681238694
MonotonicityNot monotonic
2024-05-04T15:26:34.188672image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 777
76.0%
1 211
 
20.6%
(Missing) 35
 
3.4%
ValueCountFrequency (%)
0 777
76.0%
1 211
 
20.6%
ValueCountFrequency (%)
1 211
 
20.6%
0 777
76.0%

IGT
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.3%
Missing246
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean0.4285714286
Minimum0
Maximum1
Zeros444
Zeros (%)43.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:34.339951image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4951904173
Coefficient of variation (CV)1.155444307
Kurtosis-1.92129588
Mean0.4285714286
Median Absolute Deviation (MAD)0
Skewness0.2892338007
Sum333
Variance0.2452135493
MonotonicityNot monotonic
2024-05-04T15:26:34.474330image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 444
43.4%
1 333
32.6%
(Missing) 246
24.0%
ValueCountFrequency (%)
0 444
43.4%
1 333
32.6%
ValueCountFrequency (%)
1 333
32.6%
0 444
43.4%

_Irs1051266_1
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.4920159681
Minimum0
Maximum1
Zeros509
Zeros (%)49.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:34.614864image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5001859072
Coefficient of variation (CV)1.016605029
Kurtosis-2.002978719
Mean0.4920159681
Median Absolute Deviation (MAD)0
Skewness0.03198810636
Sum493
Variance0.2501859418
MonotonicityNot monotonic
2024-05-04T15:26:34.765234image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 509
49.8%
1 493
48.2%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 509
49.8%
1 493
48.2%
ValueCountFrequency (%)
1 493
48.2%
0 509
49.8%

_Irs1051266_2
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing21
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean0.1846307385
Minimum0
Maximum1
Zeros817
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:34.899008image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3881914743
Coefficient of variation (CV)2.102528958
Kurtosis0.6518848351
Mean0.1846307385
Median Absolute Deviation (MAD)0
Skewness1.628062546
Sum185
Variance0.1506926208
MonotonicityNot monotonic
2024-05-04T15:26:35.071101image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 817
79.9%
1 185
 
18.1%
(Missing) 21
 
2.1%
ValueCountFrequency (%)
0 817
79.9%
1 185
 
18.1%
ValueCountFrequency (%)
1 185
 
18.1%
0 817
79.9%

_Irs1Xacfol_1
Real number (ℝ)

MISSING  ZEROS 

Distinct211
Distinct (%)35.5%
Missing428
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean10.01865546
Minimum0
Maximum69.7
Zeros305
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:35.232710image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q320
95-th percentile32.16
Maximum69.7
Range69.7
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.34996032
Coefficient of variation (CV)1.23269638
Kurtosis0.7360237649
Mean10.01865546
Median Absolute Deviation (MAD)0
Skewness1.046418733
Sum5961.1
Variance152.52152
MonotonicityNot monotonic
2024-05-04T15:26:35.425031image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 305
29.8%
22.8 4
 
0.4%
7.4 4
 
0.4%
18.2 4
 
0.4%
25.1 3
 
0.3%
21.6 3
 
0.3%
16.5 3
 
0.3%
12.2 3
 
0.3%
19 3
 
0.3%
22.2 3
 
0.3%
Other values (201) 260
25.4%
(Missing) 428
41.8%
ValueCountFrequency (%)
0 305
29.8%
2.2 1
 
0.1%
2.6 1
 
0.1%
3 1
 
0.1%
3.6 1
 
0.1%
ValueCountFrequency (%)
69.7 1
0.1%
63.2 1
0.1%
58.3 1
0.1%
43.3 1
0.1%
43 1
0.1%

_Irs1Xacfol_2
Real number (ℝ)

MISSING  ZEROS 

Distinct98
Distinct (%)16.5%
Missing428
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean3.466890751
Minimum0
Maximum71.7
Zeros485
Zeros (%)47.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:35.618172image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile22.43
Maximum71.7
Range71.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.436109421
Coefficient of variation (CV)2.433335812
Kurtosis11.00087875
Mean3.466890751
Median Absolute Deviation (MAD)0
Skewness2.936441159
Sum2062.799997
Variance71.16794217
MonotonicityNot monotonic
2024-05-04T15:26:35.812642image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 485
47.4%
15.3 3
 
0.3%
27.5 3
 
0.3%
37.9 2
 
0.2%
15.7 2
 
0.2%
14.5 2
 
0.2%
24.6 2
 
0.2%
10.7 2
 
0.2%
17.2 2
 
0.2%
21.3 2
 
0.2%
Other values (88) 90
 
8.8%
(Missing) 428
41.8%
ValueCountFrequency (%)
0 485
47.4%
1.9 1
 
0.1%
2.6 1
 
0.1%
3.6 1
 
0.1%
4.4 1
 
0.1%
ValueCountFrequency (%)
71.7 1
0.1%
43.700001 1
0.1%
42.5 1
0.1%
38.3 1
0.1%
37.9 2
0.2%

_Iobs_h_1
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing53
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean0.2020618557
Minimum0
Maximum1
Zeros774
Zeros (%)75.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:35.998659image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.401745259
Coefficient of variation (CV)1.988229088
Kurtosis0.2094669319
Mean0.2020618557
Median Absolute Deviation (MAD)0
Skewness1.48628372
Sum196
Variance0.1613992531
MonotonicityNot monotonic
2024-05-04T15:26:36.172580image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 774
75.7%
1 196
 
19.2%
(Missing) 53
 
5.2%
ValueCountFrequency (%)
0 774
75.7%
1 196
 
19.2%
ValueCountFrequency (%)
1 196
 
19.2%
0 774
75.7%

ayuno_dx_alt
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing35
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean0.221659919
Minimum0
Maximum1
Zeros769
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:36.333673image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4155738184
Coefficient of variation (CV)1.874826176
Kurtosis-0.1987366332
Mean0.221659919
Median Absolute Deviation (MAD)0
Skewness1.342262929
Sum219
Variance0.1727015985
MonotonicityNot monotonic
2024-05-04T15:26:36.479976image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 769
75.2%
1 219
 
21.4%
(Missing) 35
 
3.4%
ValueCountFrequency (%)
0 769
75.2%
1 219
 
21.4%
ValueCountFrequency (%)
1 219
 
21.4%
0 769
75.2%

t60_dx_alt
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing36
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean0.3667679838
Minimum0
Maximum1
Zeros625
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:36.614416image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.482166752
Coefficient of variation (CV)1.314636973
Kurtosis-1.696791305
Mean0.3667679838
Median Absolute Deviation (MAD)0
Skewness0.5537608618
Sum362
Variance0.2324847767
MonotonicityNot monotonic
2024-05-04T15:26:36.751846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 625
61.1%
1 362
35.4%
(Missing) 36
 
3.5%
ValueCountFrequency (%)
0 625
61.1%
1 362
35.4%
ValueCountFrequency (%)
1 362
35.4%
0 625
61.1%

t120_dx_alt
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing35
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean0.3927125506
Minimum0
Maximum1
Zeros600
Zeros (%)58.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:36.885385image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4886010989
Coefficient of variation (CV)1.244169808
Kurtosis-1.810021906
Mean0.3927125506
Median Absolute Deviation (MAD)0
Skewness0.4400525142
Sum388
Variance0.2387310338
MonotonicityNot monotonic
2024-05-04T15:26:37.027914image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 600
58.7%
1 388
37.9%
(Missing) 35
 
3.4%
ValueCountFrequency (%)
0 600
58.7%
1 388
37.9%
ValueCountFrequency (%)
1 388
37.9%
0 600
58.7%

t180_dx_alt
Real number (ℝ)

MISSING  ZEROS 

Distinct2
Distinct (%)0.2%
Missing107
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean0.2783842795
Minimum0
Maximum1
Zeros661
Zeros (%)64.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:37.163008image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4484484591
Coefficient of variation (CV)1.61089721
Kurtosis-1.021086041
Mean0.2783842795
Median Absolute Deviation (MAD)0
Skewness0.9905292434
Sum255
Variance0.2011060205
MonotonicityNot monotonic
2024-05-04T15:26:37.302328image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 661
64.6%
1 255
 
24.9%
(Missing) 107
 
10.5%
ValueCountFrequency (%)
0 661
64.6%
1 255
 
24.9%
ValueCountFrequency (%)
1 255
 
24.9%
0 661
64.6%

var_alt
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)0.5%
Missing35
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean1.240890688
Minimum0
Maximum4
Zeros487
Zeros (%)47.6%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:37.430907image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.376701495
Coefficient of variation (CV)1.10944623
Kurtosis-1.133182849
Mean1.240890688
Median Absolute Deviation (MAD)1
Skewness0.5533981577
Sum1226
Variance1.895307007
MonotonicityNot monotonic
2024-05-04T15:26:37.576159image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 487
47.6%
2 210
20.5%
3 157
 
15.3%
4 67
 
6.5%
1 67
 
6.5%
(Missing) 35
 
3.4%
ValueCountFrequency (%)
0 487
47.6%
1 67
 
6.5%
2 210
20.5%
3 157
 
15.3%
4 67
 
6.5%
ValueCountFrequency (%)
4 67
 
6.5%
3 157
 
15.3%
2 210
20.5%
1 67
 
6.5%
0 487
47.6%

rs2237892_T
Real number (ℝ)

MISSING  ZEROS 

Distinct3
Distinct (%)0.3%
Missing22
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean1.375624376
Minimum0
Maximum2
Zeros99
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:37.722211image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6578489452
Coefficient of variation (CV)0.4782184417
Kurtosis-0.6712850551
Mean1.375624376
Median Absolute Deviation (MAD)1
Skewness-0.5797537715
Sum1377
Variance0.4327652348
MonotonicityNot monotonic
2024-05-04T15:26:37.864249image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 475
46.4%
1 427
41.7%
0 99
 
9.7%
(Missing) 22
 
2.2%
ValueCountFrequency (%)
0 99
 
9.7%
1 427
41.7%
2 475
46.4%
ValueCountFrequency (%)
2 475
46.4%
1 427
41.7%
0 99
 
9.7%

rs1801131_C
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)0.3%
Missing23
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean1.77
Minimum0
Maximum2
Zeros9
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:38.009952image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4419222729
Coefficient of variation (CV)0.2496736005
Kurtosis1.348580952
Mean1.77
Median Absolute Deviation (MAD)0
Skewness-1.5946476
Sum1770
Variance0.1952952953
MonotonicityNot monotonic
2024-05-04T15:26:38.155589image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 779
76.1%
1 212
 
20.7%
0 9
 
0.9%
(Missing) 23
 
2.2%
ValueCountFrequency (%)
0 9
 
0.9%
1 212
 
20.7%
2 779
76.1%
ValueCountFrequency (%)
2 779
76.1%
1 212
 
20.7%
0 9
 
0.9%

pc1
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)100.0%
Missing945
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean-0.0446487859
Minimum-0.1021658
Maximum0.0062288
Zeros0
Zeros (%)0.0%
Negative74
Negative (%)7.2%
Memory size8.1 KiB
2024-05-04T15:26:38.340776image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.1021658
5-th percentile-0.084862945
Q1-0.064922275
median-0.04642265
Q3-0.02529285
95-th percentile-0.002086245
Maximum0.0062288
Range0.1083946
Interquartile range (IQR)0.039629425

Descriptive statistics

Standard deviation0.0267948895
Coefficient of variation (CV)-0.6001258255
Kurtosis-0.8034740643
Mean-0.0446487859
Median Absolute Deviation (MAD)0.0196102
Skewness-0.0183645773
Sum-3.4826053
Variance0.0007179661031
MonotonicityNot monotonic
2024-05-04T15:26:38.528707image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0682342 1
 
0.1%
-0.0181358 1
 
0.1%
-0.0613794 1
 
0.1%
-0.0389796 1
 
0.1%
0.0062288 1
 
0.1%
-0.045664 1
 
0.1%
-0.0092698 1
 
0.1%
-0.0811375 1
 
0.1%
-0.0820424 1
 
0.1%
-0.0464342 1
 
0.1%
Other values (68) 68
 
6.6%
(Missing) 945
92.4%
ValueCountFrequency (%)
-0.1021658 1
0.1%
-0.0969431 1
0.1%
-0.0917459 1
0.1%
-0.0884689 1
0.1%
-0.0842266 1
0.1%
ValueCountFrequency (%)
0.0062288 1
0.1%
0.00491 1
0.1%
0.0017055 1
0.1%
0.0002884 1
0.1%
-0.0025053 1
0.1%

pc2
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)100.0%
Missing945
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean0.003734855128
Minimum-0.1608365
Maximum0.2773971
Zeros0
Zeros (%)0.0%
Negative38
Negative (%)3.7%
Memory size8.1 KiB
2024-05-04T15:26:38.713718image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.1608365
5-th percentile-0.12275822
Q1-0.0564412
median0.001002
Q30.047098375
95-th percentile0.175091555
Maximum0.2773971
Range0.4382336
Interquartile range (IQR)0.103539575

Descriptive statistics

Standard deviation0.09280213369
Coefficient of variation (CV)24.84758592
Kurtosis0.3932943513
Mean0.003734855128
Median Absolute Deviation (MAD)0.05530115
Skewness0.689065149
Sum0.2913187
Variance0.008612236018
MonotonicityNot monotonic
2024-05-04T15:26:38.890669image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0136171 1
 
0.1%
0.0690459 1
 
0.1%
-0.0282741 1
 
0.1%
-0.0351363 1
 
0.1%
0.1621089 1
 
0.1%
-0.1090952 1
 
0.1%
0.0465955 1
 
0.1%
0.0381102 1
 
0.1%
0.0236649 1
 
0.1%
0.0286442 1
 
0.1%
Other values (68) 68
 
6.6%
(Missing) 945
92.4%
ValueCountFrequency (%)
-0.1608365 1
0.1%
-0.1424208 1
0.1%
-0.1362142 1
0.1%
-0.1245949 1
0.1%
-0.1224341 1
0.1%
ValueCountFrequency (%)
0.2773971 1
0.1%
0.2365837 1
0.1%
0.2144168 1
0.1%
0.1811501 1
0.1%
0.1740224 1
0.1%

PC1
Real number (ℝ)

MISSING 

Distinct438
Distinct (%)43.5%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean0.003352186879
Minimum-0.0346
Maximum0.0366
Zeros4
Zeros (%)0.4%
Negative408
Negative (%)39.9%
Memory size8.1 KiB
2024-05-04T15:26:39.062460image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.0346
5-th percentile-0.018
Q1-0.0053
median0.0032
Q30.0127
95-th percentile0.02585
Maximum0.0366
Range0.0712
Interquartile range (IQR)0.018

Descriptive statistics

Standard deviation0.01334375104
Coefficient of variation (CV)3.980610724
Kurtosis-0.3194369003
Mean0.003352186879
Median Absolute Deviation (MAD)0.0088
Skewness-0.02375697701
Sum3.3723
Variance0.0001780556917
MonotonicityNot monotonic
2024-05-04T15:26:39.260366image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0096 8
 
0.8%
0.0031 8
 
0.8%
0.004 8
 
0.8%
-0.0056 7
 
0.7%
-0.0049 7
 
0.7%
0.0073 7
 
0.7%
-0.0025 7
 
0.7%
-0.0019 7
 
0.7%
-0.0105 6
 
0.6%
0.0026 6
 
0.6%
Other values (428) 935
91.4%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
-0.0346 1
0.1%
-0.0345 1
0.1%
-0.0338 1
0.1%
-0.0327 1
0.1%
-0.0305 1
0.1%
ValueCountFrequency (%)
0.0366 1
0.1%
0.0353 1
0.1%
0.0352 1
0.1%
0.0341 1
0.1%
0.034 1
0.1%

PC2
Real number (ℝ)

MISSING 

Distinct368
Distinct (%)36.6%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean-0.001181312127
Minimum-0.0457
Maximum0.0301
Zeros3
Zeros (%)0.3%
Negative524
Negative (%)51.2%
Memory size8.1 KiB
2024-05-04T15:26:39.449054image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.0457
5-th percentile-0.017875
Q1-0.007175
median-0.0006
Q30.005575
95-th percentile0.013375
Maximum0.0301
Range0.0758
Interquartile range (IQR)0.01275

Descriptive statistics

Standard deviation0.009659708012
Coefficient of variation (CV)-8.177100522
Kurtosis0.3585701971
Mean-0.001181312127
Median Absolute Deviation (MAD)0.00635
Skewness-0.3565629181
Sum-1.1884
Variance9.330995887 × 10-5
MonotonicityNot monotonic
2024-05-04T15:26:39.639938image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0037 11
 
1.1%
-0.0011 9
 
0.9%
-0.001 8
 
0.8%
0.0014 8
 
0.8%
0.0063 8
 
0.8%
0.0005 8
 
0.8%
-0.0013 8
 
0.8%
0.0007 8
 
0.8%
-0.0064 7
 
0.7%
0.0047 7
 
0.7%
Other values (358) 924
90.3%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
-0.0457 1
0.1%
-0.0307 1
0.1%
-0.0305 1
0.1%
-0.0293 1
0.1%
-0.0286 1
0.1%
ValueCountFrequency (%)
0.0301 1
0.1%
0.0228 1
0.1%
0.0227 1
0.1%
0.0214 1
0.1%
0.0212 1
0.1%

PC3
Real number (ℝ)

MISSING 

Distinct567
Distinct (%)56.4%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean-0.001426441352
Minimum-0.0501
Maximum0.082
Zeros2
Zeros (%)0.2%
Negative574
Negative (%)56.1%
Memory size8.1 KiB
2024-05-04T15:26:39.834730image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.0501
5-th percentile-0.03215
Q1-0.0164
median-0.00305
Q30.01235
95-th percentile0.035725
Maximum0.082
Range0.1321
Interquartile range (IQR)0.02875

Descriptive statistics

Standard deviation0.02071092284
Coefficient of variation (CV)-14.51929504
Kurtosis0.06122813491
Mean-0.001426441352
Median Absolute Deviation (MAD)0.0141
Skewness0.4192211375
Sum-1.435
Variance0.000428942325
MonotonicityNot monotonic
2024-05-04T15:26:40.044230image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.004 7
 
0.7%
-0.0189 5
 
0.5%
-0.01 5
 
0.5%
-0.0025 5
 
0.5%
0.0044 5
 
0.5%
-0.0095 5
 
0.5%
-0.0004 5
 
0.5%
-0.0098 5
 
0.5%
-0.0112 5
 
0.5%
-0.0019 5
 
0.5%
Other values (557) 954
93.3%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
-0.0501 1
0.1%
-0.05 1
0.1%
-0.0489 1
0.1%
-0.0487 1
0.1%
-0.0478 1
0.1%
ValueCountFrequency (%)
0.082 1
0.1%
0.0652 1
0.1%
0.0633 1
0.1%
0.0581 1
0.1%
0.0579 1
0.1%

PC4
Real number (ℝ)

MISSING 

Distinct560
Distinct (%)55.7%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean9.244532803 × 10-5
Minimum-0.0543
Maximum0.0722
Zeros1
Zeros (%)0.1%
Negative542
Negative (%)53.0%
Memory size8.1 KiB
2024-05-04T15:26:40.239935image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.0543
5-th percentile-0.030475
Q1-0.0136
median-0.00195
Q30.0129
95-th percentile0.034275
Maximum0.0722
Range0.1265
Interquartile range (IQR)0.0265

Descriptive statistics

Standard deviation0.01993774696
Coefficient of variation (CV)215.6706822
Kurtosis0.1043856433
Mean9.244532803 × 10-5
Median Absolute Deviation (MAD)0.0129
Skewness0.3299167878
Sum0.093
Variance0.0003975137538
MonotonicityNot monotonic
2024-05-04T15:26:40.433389image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0131 6
 
0.6%
-0.0098 6
 
0.6%
0.0035 6
 
0.6%
-0.0145 6
 
0.6%
-0.0077 6
 
0.6%
-0.0134 5
 
0.5%
-0.0211 5
 
0.5%
-0.0031 5
 
0.5%
0.0066 5
 
0.5%
-0.0088 5
 
0.5%
Other values (550) 951
93.0%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
-0.0543 1
0.1%
-0.0513 1
0.1%
-0.0499 1
0.1%
-0.0489 1
0.1%
-0.046 1
0.1%
ValueCountFrequency (%)
0.0722 1
0.1%
0.0687 2
0.2%
0.0685 1
0.1%
0.0604 1
0.1%
0.0572 1
0.1%

PC5
Real number (ℝ)

MISSING 

Distinct568
Distinct (%)56.5%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean-0.001399900596
Minimum-0.0739
Maximum0.065
Zeros2
Zeros (%)0.2%
Negative537
Negative (%)52.5%
Memory size8.1 KiB
2024-05-04T15:26:40.616512image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.0739
5-th percentile-0.035575
Q1-0.014575
median-0.0021
Q30.011675
95-th percentile0.033725
Maximum0.065
Range0.1389
Interquartile range (IQR)0.02625

Descriptive statistics

Standard deviation0.02075836078
Coefficient of variation (CV)-14.82845342
Kurtosis0.3387061077
Mean-0.001399900596
Median Absolute Deviation (MAD)0.01305
Skewness-0.06903828028
Sum-1.4083
Variance0.0004309095423
MonotonicityNot monotonic
2024-05-04T15:26:40.808317image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0155 6
 
0.6%
-0.008 6
 
0.6%
0.0076 6
 
0.6%
-0.0142 5
 
0.5%
-0.0083 5
 
0.5%
-0.018 5
 
0.5%
0.0061 5
 
0.5%
-0.0079 5
 
0.5%
0.0145 5
 
0.5%
-0.0156 5
 
0.5%
Other values (558) 953
93.2%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
-0.0739 1
0.1%
-0.0735 1
0.1%
-0.0716 1
0.1%
-0.0654 1
0.1%
-0.0645 1
0.1%
ValueCountFrequency (%)
0.065 1
0.1%
0.055 1
0.1%
0.054 1
0.1%
0.0537 1
0.1%
0.0515 1
0.1%

PC6
Real number (ℝ)

MISSING 

Distinct554
Distinct (%)55.1%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean-0.002408449304
Minimum-0.0626
Maximum0.083
Zeros1
Zeros (%)0.1%
Negative547
Negative (%)53.5%
Memory size8.1 KiB
2024-05-04T15:26:40.990471image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.0626
5-th percentile-0.0345
Q1-0.0157
median-0.0024
Q30.011875
95-th percentile0.029875
Maximum0.083
Range0.1456
Interquartile range (IQR)0.027575

Descriptive statistics

Standard deviation0.01997408516
Coefficient of variation (CV)-8.293338423
Kurtosis0.1919185516
Mean-0.002408449304
Median Absolute Deviation (MAD)0.01375
Skewness0.01860393191
Sum-2.4229
Variance0.0003989640778
MonotonicityNot monotonic
2024-05-04T15:26:41.201596image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0092 6
 
0.6%
0.0119 6
 
0.6%
-0.0087 6
 
0.6%
-0.0083 6
 
0.6%
-0.0082 6
 
0.6%
-0.0111 5
 
0.5%
-0.0138 5
 
0.5%
0.0152 5
 
0.5%
-0.0009 5
 
0.5%
0.0008 5
 
0.5%
Other values (544) 951
93.0%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
-0.0626 1
0.1%
-0.0605 2
0.2%
-0.0592 1
0.1%
-0.0589 1
0.1%
-0.0547 2
0.2%
ValueCountFrequency (%)
0.083 1
0.1%
0.0639 1
0.1%
0.0554 1
0.1%
0.0506 1
0.1%
0.0505 1
0.1%

PC7
Real number (ℝ)

MISSING 

Distinct567
Distinct (%)56.4%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean0.0007709741551
Minimum-0.0621
Maximum0.0713
Zeros1
Zeros (%)0.1%
Negative514
Negative (%)50.2%
Memory size8.1 KiB
2024-05-04T15:26:41.400997image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.0621
5-th percentile-0.029175
Q1-0.012975
median-0.0008
Q30.0133
95-th percentile0.038175
Maximum0.0713
Range0.1334
Interquartile range (IQR)0.026275

Descriptive statistics

Standard deviation0.02079719682
Coefficient of variation (CV)26.97521918
Kurtosis0.3947028755
Mean0.0007709741551
Median Absolute Deviation (MAD)0.013
Skewness0.3114049108
Sum0.7756
Variance0.0004325233955
MonotonicityNot monotonic
2024-05-04T15:26:41.618074image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0068 8
 
0.8%
-0.0081 7
 
0.7%
-0.0114 6
 
0.6%
-0.0027 6
 
0.6%
-0.0028 6
 
0.6%
-0.0109 6
 
0.6%
0.0104 5
 
0.5%
0.004 5
 
0.5%
-0.0008 5
 
0.5%
0.0022 5
 
0.5%
Other values (557) 947
92.6%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
-0.0621 1
0.1%
-0.0606 1
0.1%
-0.0587 1
0.1%
-0.0566 1
0.1%
-0.0565 1
0.1%
ValueCountFrequency (%)
0.0713 1
0.1%
0.0678 1
0.1%
0.0654 1
0.1%
0.0653 1
0.1%
0.0647 1
0.1%

PC8
Real number (ℝ)

MISSING 

Distinct584
Distinct (%)58.1%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean0.0004666003976
Minimum-0.0661
Maximum0.0914
Zeros4
Zeros (%)0.4%
Negative526
Negative (%)51.4%
Memory size8.1 KiB
2024-05-04T15:26:41.798546image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.0661
5-th percentile-0.030575
Q1-0.0137
median-0.0011
Q30.0133
95-th percentile0.036775
Maximum0.0914
Range0.1575
Interquartile range (IQR)0.027

Descriptive statistics

Standard deviation0.02115038119
Coefficient of variation (CV)45.32868232
Kurtosis0.7656026565
Mean0.0004666003976
Median Absolute Deviation (MAD)0.0136
Skewness0.4118837665
Sum0.4694
Variance0.0004473386247
MonotonicityNot monotonic
2024-05-04T15:26:41.984482image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.003 9
 
0.9%
0.0048 7
 
0.7%
0.0045 7
 
0.7%
-0.0161 6
 
0.6%
0.0309 5
 
0.5%
-0.0133 5
 
0.5%
-0.0155 5
 
0.5%
-0.0004 5
 
0.5%
-0.0019 5
 
0.5%
-0.0013 5
 
0.5%
Other values (574) 947
92.6%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
-0.0661 1
0.1%
-0.0626 1
0.1%
-0.0593 1
0.1%
-0.0571 1
0.1%
-0.0536 1
0.1%
ValueCountFrequency (%)
0.0914 1
0.1%
0.0797 1
0.1%
0.0782 1
0.1%
0.0756 1
0.1%
0.0718 1
0.1%

PC9
Real number (ℝ)

MISSING 

Distinct569
Distinct (%)56.6%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean-0.0001463220676
Minimum-0.0807
Maximum0.0602
Zeros2
Zeros (%)0.2%
Negative519
Negative (%)50.7%
Memory size8.1 KiB
2024-05-04T15:26:42.665879image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.0807
5-th percentile-0.035525
Q1-0.013825
median-0.00075
Q30.0147
95-th percentile0.035225
Maximum0.0602
Range0.1409
Interquartile range (IQR)0.028525

Descriptive statistics

Standard deviation0.02114307013
Coefficient of variation (CV)-144.4967972
Kurtosis0.09133508695
Mean-0.0001463220676
Median Absolute Deviation (MAD)0.01395
Skewness-0.05265653336
Sum-0.1472
Variance0.0004470294143
MonotonicityNot monotonic
2024-05-04T15:26:42.855149image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0099 7
 
0.7%
0.0132 7
 
0.7%
-0.0098 6
 
0.6%
-0.0086 6
 
0.6%
0.0017 6
 
0.6%
0.0035 5
 
0.5%
-0.0022 5
 
0.5%
-0.0158 5
 
0.5%
0.0106 5
 
0.5%
0.0254 5
 
0.5%
Other values (559) 949
92.8%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
-0.0807 1
0.1%
-0.0655 1
0.1%
-0.0604 1
0.1%
-0.0598 1
0.1%
-0.0585 1
0.1%
ValueCountFrequency (%)
0.0602 1
0.1%
0.0581 1
0.1%
0.0558 1
0.1%
0.0557 1
0.1%
0.0541 1
0.1%

PC10
Real number (ℝ)

MISSING 

Distinct578
Distinct (%)57.5%
Missing17
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean-0.000568389662
Minimum-0.0687
Maximum0.0617
Zeros3
Zeros (%)0.3%
Negative519
Negative (%)50.7%
Memory size8.1 KiB
2024-05-04T15:26:43.051636image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.0687
5-th percentile-0.03495
Q1-0.013875
median-0.00085
Q30.012975
95-th percentile0.03345
Maximum0.0617
Range0.1304
Interquartile range (IQR)0.02685

Descriptive statistics

Standard deviation0.02062786153
Coefficient of variation (CV)-36.29176058
Kurtosis0.08967677222
Mean-0.000568389662
Median Absolute Deviation (MAD)0.01345
Skewness0.01198751721
Sum-0.5718
Variance0.0004255086714
MonotonicityNot monotonic
2024-05-04T15:26:43.278288image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0098 6
 
0.6%
-0.0103 6
 
0.6%
0.0053 6
 
0.6%
-0.002 5
 
0.5%
-0.0075 5
 
0.5%
0.0043 5
 
0.5%
-0.0012 5
 
0.5%
-0.006 5
 
0.5%
-0.0124 5
 
0.5%
0.0086 5
 
0.5%
Other values (568) 953
93.2%
(Missing) 17
 
1.7%
ValueCountFrequency (%)
-0.0687 1
0.1%
-0.0618 1
0.1%
-0.0598 1
0.1%
-0.0566 1
0.1%
-0.053 1
0.1%
ValueCountFrequency (%)
0.0617 1
0.1%
0.0594 1
0.1%
0.0561 1
0.1%
0.0529 1
0.1%
0.0524 1
0.1%

_merge
Real number (ℝ)

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.966764418
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:43.429528image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2557938991
Coefficient of variation (CV)0.08621982167
Kurtosis55.46997204
Mean2.966764418
Median Absolute Deviation (MAD)0
Skewness-7.573739497
Sum3035
Variance0.06543051881
MonotonicityIncreasing
2024-05-04T15:26:43.571908image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
3 1006
98.3%
1 17
 
1.7%
ValueCountFrequency (%)
1 17
 
1.7%
3 1006
98.3%
ValueCountFrequency (%)
3 1006
98.3%
1 17
 
1.7%

aim_118
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9833822092
Minimum0
Maximum1
Zeros17
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:43.714685image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1278969495
Coefficient of variation (CV)0.13005823
Kurtosis55.46997204
Mean0.9833822092
Median Absolute Deviation (MAD)0
Skewness-7.573739497
Sum1006
Variance0.0163576297
MonotonicityIncreasing
2024-05-04T15:26:43.850634image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1006
98.3%
0 17
 
1.7%
ValueCountFrequency (%)
0 17
 
1.7%
1 1006
98.3%
ValueCountFrequency (%)
1 1006
98.3%
0 17
 
1.7%

aim_32
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07624633431
Minimum0
Maximum1
Zeros945
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size8.1 KiB
2024-05-04T15:26:43.983180image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2655216516
Coefficient of variation (CV)3.482418585
Kurtosis8.244021931
Mean0.07624633431
Median Absolute Deviation (MAD)0
Skewness3.198110127
Sum78
Variance0.07050174748
MonotonicityNot monotonic
2024-05-04T15:26:44.117332image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 945
92.4%
1 78
 
7.6%
ValueCountFrequency (%)
0 945
92.4%
1 78
 
7.6%
ValueCountFrequency (%)
1 78
 
7.6%
0 945
92.4%